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1
Shirai, Yoshiaki. "References of references in Robotics. References of references in image processing board." Journal of the Robotics Society of Japan 16, no. 7 (1998): 886–88. http://dx.doi.org/10.7210/jrsj.16.886.
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PERNER, PETRA, ALEC HOLT, and MICHAEL RICHTER. "Image processing in case-based reasoning." Knowledge Engineering Review 20, no. 3 (2005): 311–14. http://dx.doi.org/10.1017/s0269888906000671.
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This commentary summarizes case-based reasoning (CBR) research applied to image processing. It includes references to the systems, workshops, and landmark publications. Image processing includes a variety of image formats, from computer tomography images to remote sensing and spatial data sets.
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Han, Xiongzhe, J. Alex Thomasson, Vaishali Swaminathan, et al. "Field-Based Calibration of Unmanned Aerial Vehicle Thermal Infrared Imagery with Temperature-Controlled References." Sensors 20, no. 24 (2020): 7098. http://dx.doi.org/10.3390/s20247098.
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Accurate and reliable calibration methods are required when applying unmanned aerial vehicle (UAV)-based thermal remote sensing in precision agriculture for crop stress monitoring, irrigation planning, and harvesting. The primary objective of this study was to improve the calibration accuracies of UAV-based thermal images using temperature-controlled ground references. Two temperature-controlled ground references were installed in the field to serve as high- and low-temperature references, approximately spanning the expected range of crop surface temperatures during the growing season. Our results showed that the proposed method using temperature-controlled references was able to reduce errors due to ambient conditions from 9.29 to 1.68 °C, when tested with validation panels. There was a significant improvement in crop temperature estimation from the thermal image mosaic, as the error reduced from 14.0 °C in the un-calibrated image to 1.01 °C in the calibrated image. Furthermore, a multiple linear regression model (R2 = 0.78; p-value < 0.001; relative RMSE = 2.42%) was established to quantify soil moisture content based on canopy surface temperature and soil type, using UAV-based thermal image data and soil electrical conductivity (ECa) data as the predictor variables.
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FISHER, YUVAL. "FRACTAL IMAGE COMPRESSION." Fractals 02, no. 03 (1994): 347–61. http://dx.doi.org/10.1142/s0218348x94000442.
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This paper begins by presenting a simple explanation of the main ideas in fractal image compression. It then presents a brief discussion of the current state of the art along with some results comparing fractal encoding, JPEG, and a wavelet scheme. The conclusion contains references to many of the latest theoretical and implementation results.
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Jia, Peng, Runyu Ning, Ruiqi Sun, Xiaoshan Yang, and Dongmei Cai. "Data-driven image restoration with option-driven learning for big and small astronomical image data sets." Monthly Notices of the Royal Astronomical Society 501, no. 1 (2020): 291–301. http://dx.doi.org/10.1093/mnras/staa3535.
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ABSTRACT Image restoration methods are commonly used to improve the quality of astronomical images. In recent years, developments of deep neural networks and increments of the number of astronomical images have evoked a lot of data-driven image restoration methods. However, most of these methods belong to supervised learning algorithms, which require paired images either from real observations or simulated data as training set. For some applications, it is hard to get enough paired images from real observations and simulated images are quite different from real observed ones. In this paper, we propose a new data-driven image restoration method based on generative adversarial networks with option-driven learning. Our method uses several high-resolution images as references and applies different learning strategies when the number of reference images is different. For sky surveys with variable observation conditions, our method can obtain very stable image restoration results, regardless of the number of reference images.
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Kacher, Sabrina, Gilles Halin, Jean-Claude Bignon, and Pascal Humbert. "A Method for Constructing a Reference Image Database to Assist with Design Process. Application to the Wooden Architecture Domain." International Journal of Architectural Computing 3, no. 2 (2005): 227–43. http://dx.doi.org/10.1260/1478077054214415.
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Designing architectural projects requires the introduction of references, because design is an activity oriented towards a result which does not yet exist. If we summarise the current categories used in Artificial Intelligence to characterise the different forms of reasoning, we are able to consider that design is more the concern of the induction or the abduction mechanism than the deduction mechanism. Moreover, the main characteristic of the designer's activity is to work towards non-routine situations with the use of many references. In this paper we will present method principles to construct a reference image database. These references will enable the designer to further in solving the design problem. To illustrate these reference usage, we choose photographic images belonging to the wooden construction domain We also present at the end of the paper an experiment which aims to evaluate the real help that this reference image database can bring to designers during their creation task.
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Attia, Salim J. "Assessment of Some Enhancement Methods of Renal X-ray Image." NeuroQuantology 18, no. 12 (2020): 01–05. http://dx.doi.org/10.14704/nq.2020.18.12.nq20231.
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The study focuses on assessment of the quality of some image enhancement methods which were implemented on renal X-ray images. The enhancement methods included Imadjust, Histogram Equalization (HE) and Contrast Limited Adaptive Histogram Equalization (CLAHE). The images qualities were calculated to compare input images with output images from these three enhancement techniques. An eight renal x-ray images are collected to perform these methods. Generally, the x-ray images are lack of contrast and low in radiation dosage. This lack of image quality can be amended by enhancement process. Three quality image factors were done to assess the resulted images involved (Naturalness Image Quality Evaluator (NIQE), Perception based Image Quality Evaluator (PIQE) and Blind References Image Spatial Quality Evaluator (BRISQE)). The quality of images had been heightened by these methods to support the goals of diagnosis. The results of the chosen enhancement methods of collecting images reflected more qualified images than the original images. According to the results of the quality factors and the assessment of radiology experts, the CLAHE method was the best enhancement method.
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Broeckmann, Andreas. "Media Faktura. On some Technical Conditions of Image-Making in Art." Artifact 4, no. 1 (2017): 7. http://dx.doi.org/10.14434/artifact.v4i1.13125.
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The text contributes to the discussion about the ontological status of the "image" by offering an analysis of the technical and material conditions of image-making. Departing from a close reading of French artist Julien Maire's installation "Memory Cone" (2009), the paper discusses four distinct types of technical conditions which determine mediated images: physiological, physical, electronic, and algorithmic. It references art historical examples to argue that such technical conditions have always been fundamental to images, and suggests the interdependency between these medial layers.
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Mguni, Siyakha. "King's monuments: identifying ‘formlings’ in southern African San rock paintings." Antiquity 80, no. 309 (2006): 583–98. http://dx.doi.org/10.1017/s0003598x00094059.
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The author demonstrates that the complex images of rock art known as formlings depict or evoke the equally complex architecture of ant-hills. Presented in cutaway and full of metaphorical references, they go beyond the image into the imagination.
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Widianti, Linda Wahyu, Sarifuddin Madenda, Johan Harlan, Sunny Sudiro, and Farina Pramanik. "Generation of Teeth Caries Features for Human Dental Caries Classification." Jurnal Telekomunikasi dan Komputer 11, no. 3 (2021): 254. http://dx.doi.org/10.22441/incomtech.v11i3.13804.
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Many dental diseases are experienced by humans, one of which is dental caries, there are three types of human dental caries, namely enamel caries, dentin caries and pulp caries. This study contains the detection of caries disease in human teeth using two-dimensional images and radiological results of x-ray periapical radiographs from a test image dataset that has a number of pixels between 374x288 to 672x514 pixels with an image resolution of 96 DPI. The original data of existing dental images was processed using Matlab language to obtain caries features through three stages of the processes: pre-processing stage which are stages of the preprocessing process that converts data from a two-dimensional color image (row/height, column/width) that is stored using three channels Red, Green and Blue (RGB), into a grayscale image with one channel, the process of extracting dental caries features by performing calculations caries area and calculate the distance of the caries area to the nerve canal (pulp), and the process of building learning or reference data from dental caries using 24 radiograph periapical data on molar tooth images processed using Matlab. Dental caries features extraction process and the features learning process to generate references features from dental caries is the main objective of this research. This study result was references features for human dental caries classification.
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Pisters, Patricia. "Flashforward: The Future is Now." Deleuze Studies 5, supplement (2011): 98–115. http://dx.doi.org/10.3366/dls.2011.0039.
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In The Future of the Image (2007) Jacques Rancière states that the end of images is behind us. He argues for an aesthetics of the image that acknowledges the continuing power of images as educating documentations of traces of history, as directly affecting interruptions, and as open-to-combining signs of the visible and the sayable ad infinitum. But does Rancière's claim also concern the future of cinema? His cinematic references, in a Deleuzian sense, are mostly to modern time-images. Is the future of film indeed a form of the time-image, or has the ‘heart’ of cinema moved beyond this image-type? This paper proposes to look at a third category of cinematographic images, based in the third synthesis of time as developed by Deleuze in Difference and Repetition. This filmic image, that could be called the neuro-image, is connected to the impure regime of images typical for the database logic of the digital age. By comparing Alain Resnais's Hiroshima Mon Amour (1959) to the television series FlashForward (2009) , I will analyse the temporal operations of the image of the time-image to these images of a new regime of images, the image of and from the future. 1
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Alasuutari, Pertti, Valtteri Vähä-Savo, and Laia Pi Ferrer. "National Self-Image as a Justification in Policy Debates: An International Comparison." New Global Studies 13, no. 2 (2019): 167–89. http://dx.doi.org/10.1515/ngs-2018-4038.
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AbstractIn national policymaking speakers commonly refer to models and policies adopted elsewhere as a means to justify a bill. However, empirical analysis of parliamentary talk in eight national parliaments (Argentina, Canada, Chile, Finland, Mexico, Russia, Spain and the USA) reported in this article showed an interesting relationship between two types of justifications: of the eight countries compared, the ones that rank lowest in references to the international community as means to justify or criticize domestic legislation rank highest in the frequency with which national self-image is evoked. Yet these two types of justification exist in the same debates, because the occurrence of both of these discourses correlates with debate length. The variation is due to differences between political cultures: in countries like Argentina and the USA, where national self-image is employed most frequently, speakers have at their disposal stories that bolster beliefs about the country’s uniqueness. In contrast, in the parliaments of Canada and Finland, where references to national self-image are most infrequent, references to the country’s history are rare, and talk about national self-image is entwined with international references.
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Zhu, Shuqin, and Congxu Zhu. "An Efficient Chosen-Plaintext Attack on an Image Fusion Encryption Algorithm Based on DNA Operation and Hyperchaos." Entropy 23, no. 7 (2021): 804. http://dx.doi.org/10.3390/e23070804.
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This paper proposes a more efficient attack method on an image fusion encryption algorithm based on DNA operation and hyperchaos. Although several references have reported some methods to crack the image encryption algorithm, they are not the most efficient. The proposed chosen-plaintext attack method can break the encryption scheme with (4×N/M+1) or (M/(4×N)+1) chosen-plaintext images, which is much less than the number of chosen-plaintext images used in the previous cracking algorithms, where M and N represent the height and width of the target ciphertext image, respectively. The effectiveness of the proposed chosen-plaintext attack is supported by theoretical analysis, and verified by experimental results.
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Peng, Bo, Xingzheng Wang, and Yan Yang. "Region Based Exemplar References for Image Segmentation Evaluation." IEEE Signal Processing Letters 23, no. 4 (2016): 459–62. http://dx.doi.org/10.1109/lsp.2016.2517101.
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Xu, Lina, Guangqi Xie, and Sitong Zhou. "Panchromatic and Multispectral Image Fusion Combining GIHS, NSST, and PCA." Applied Sciences 13, no. 3 (2023): 1412. http://dx.doi.org/10.3390/app13031412.
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Spatial and spectral information are essential sources of information in remote sensing applications, and the fusion of panchromatic and multispectral images effectively combines the advantages of both. Due to the existence of two main classes of fusion methods—component substitution (CS) and multi-resolution analysis (MRA), which have different advantages—mixed approaches are possible. This paper proposes a fusion algorithm that combines the advantages of generalized intensity–hue–saturation (GIHS) and non-subsampled shearlet transform (NSST) with principal component analysis (PCA) technology to extract more spatial information. Therefore, compared with the traditional algorithms, the algorithm in this paper uses PCA transformation to obtain spatial structure components from PAN and MS, which can effectively inject spatial information while maintaining spectral information with high fidelity. First, PCA is applied to each band of low-resolution multispectral (MS) images and panchromatic (PAN) images to obtain the first principal component and to calculate the intensity of MS. Then, the PAN image is fused with the first principal component using NSST, and the fused image is used to replace the original intensity component. Finally, a fused image is obtained using the GIHS algorithm. Using the urban, plants and water, farmland, and desert images from GeoEye-1, WorldView-4, GaoFen-7 (GF-7), and Gaofen Multi-Mode (GFDM) as experimental data, this fusion method was tested using the evaluation mode with references and the evaluation mode without references and was compared with five other classic fusion algorithms. The results showed that the algorithms in this paper had better fusion performances in both spectral preservation and spatial information incorporation.
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Zhao, Xin, Hui Li, Ping Wang, and Linhai Jing. "An Image Registration Method for Multisource High-Resolution Remote Sensing Images for Earthquake Disaster Assessment." Sensors 20, no. 8 (2020): 2286. http://dx.doi.org/10.3390/s20082286.
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For earthquake disaster assessment using remote sensing (RS), multisource image registration is an important step. However, severe earthquakes will increase the deformation between the remote sensing images acquired before and after the earthquakes on different platforms. Traditional image registration methods can hardly meet the requirements of accuracy and efficiency of image registration of post-earthquake RS images used for disaster assessment. Therefore, an improved image registration method was proposed for the registration of multisource high-resolution remote sensing images. The proposed method used the combination of the Shi_Tomasi corner detection algorithm and scale-invariant feature transform (SIFT) to detect tie points from image patches obtained by an image partition strategy considering geographic information constraints. Then, the random sample consensus (RANSAC) and greedy algorithms were employed to remove outliers and redundant matched tie points. Additionally, a pre-earthquake RS image database was constructed using pre-earthquake high-resolution RS images and used as the references for image registration. The performance of the proposed method was evaluated using three image pairs covering regions affected by severe earthquakes. It was shown that the proposed method provided higher accuracy, less running time, and more tie points with a more even distribution than the classic SIFT method and the SIFT method using the same image partitioning strategy.
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Zhang, Yu, Luyan Ji, Xunpeng Xu, Peng Zhang, Kang Jiang, and Hairong Tang. "A Flexible Spatiotemporal Thick Cloud Removal Method with Low Requirements for Reference Images." Remote Sensing 15, no. 17 (2023): 4306. http://dx.doi.org/10.3390/rs15174306.
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Thick cloud and shadows have a significant impact on the availability of optical remote sensing data. Although various methods have been proposed to address this issue, they still have some limitations. First, most approaches rely on a single clear reference image as complementary information, which becomes challenging when the target image has large missing areas. Secondly, the existing methods that can utilize multiple reference images require the complementary data to have high temporal correlation, which is not suitable for situations where the difference between the reference image and the target image is large. To overcome these limitations, a flexible spatiotemporal deep learning framework based on generative adversarial networks is proposed for thick cloud removal, which allows for the use of three arbitrary temporal images as references. The framework incorporates a three-step encoder that can leverage the uncontaminated information from the target image to assimilate the reference images, enhancing the model’s ability to handle reference images with diverse temporal differences. A series of simulated and real experiments on Landsat 8 and Sentinel 2 data is performed to demonstrate the effectiveness of the proposed method. The proposed method is especially applicable to small/large-scale regions with reference images that are significantly different from the target image.
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Costa Carvalho, Magda. "Indecisão plena de promessas: imagens da vida e da infância na filosofia de Henri Bergson." EDUCAÇÃO E FILOSOFIA 34, no. 71 (2021): 565–80. http://dx.doi.org/10.14393/revedfil.v34n71a2020-56831.
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Indecisão plena de promessas: imagens da vida e da infância na filosofia de Henri Bergson
 Resumo: Numa passagem da obra Évolution Créatrice, Bergson recupera a imagem da criança para afirmar que a natureza viva opera através de tendências divergentes. Apesar de não ter desenvolvido um pensamento de pendor educacional, encontram-se na obra bergsoniana referências que, por um lado, recuperam a dimensão criativa e criadora da infância e, por outro, acentuam a forma infantil dos movimentos do élan vital. Estas referências fazem parte da imagética do autor, mostrando como o seu pensamento sugestiona leituras ímpares. O convite para cruzar a imagem da vida como infância com a imagem da infância como vida revela-se, assim, sugestivo para repensar o que nos habita como constitutivamente outro: a criança que fomos e a natureza que somos. E será através da imagem – como forma de contacto dinâmico com o real – que poderemos encontrar algumas respostas para a sugestão bergsoniana de se promover nas escolas um conhecimento infantil (enfantin).Palavras-chave: infância; criança; natureza; imagem; Bergson.
 Indecision charged with promise: Images of life and childhood in Henri Bergson’s philosophy
 Abstract: In a passage in his Évolution Créatrice, Bergson reclaims the image of the child to argue that living nature works through divergent tendencies. Although Bergson’s work doesn’t focus specifically on education, it does contain references that, on the one hand, reclaim the creative and creating nature of childhood, while on the other hand accentuating the childlike nature of élan vital’s movements (vital impetus). These references are part of Bergson’s repertoire of imagery and demonstrate how his thought evokes uneven readings. The invitation to cross the image of life as childhood with that of childhood as life ultimately evokes a rethinking of what inhabits us as constitutively other: the child we were and the nature we are. And it is through the notion of image – as a form of dynamic contact with reality – that we will find some answers for Bergson’s suggestion that schools promote a childlike knowledge (enfantin).Key-words: childhood; child; nature; image; Bergson. 
 Indecisión cargada de promesas: Imagénes de la vida y de la infancia en la filosofía de Henri Bergson
 Resumen: En un pasaje sobre la obra Évolution Créatrice, Bergson recupera la imagen del niño para afirmar que la naturaleza viva opera a través de tendencias divergentes. A pesar de no haber desarrollado un pensamiento de carácter educacional, se encuentran en la obra bergsoniana referencias que, por un lado, recuperan la dimensión creativa y creadora de la infancia y, por otro, acentúan la forma infantil de los movimientos del impulso vital. Estas referencias hacen parte de la imagen del autor, mostrando como su pensamiento sugestiona lecturas impares. O convite para cruzar la imagen de la vida como infancia con la imagen de la infancia como vida se revela, de esta manera, sugestivo para repensar lo que nos habita como constitutivamente otro: el niño que fuimos y la naturaleza que somos. Y será a través de la imagen – como forma de contacto dinámico con lo real – que podremos encontrar algunas respuestas para la sugestión bergsoniana de promoverse en las escuelas un conocimiento infantil (enfantin).Palavras-clave: infancia; niño; naturaleza; imagen; Bergson.
 Data de registro: 20/08/2020Data de aceite: 30/11/2020
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Abramov, Sergey, Mikhail Uss, Vladimir Lukin, Benoit Vozel, Kacem Chehdi, and Karen Egiazarian. "Enhancement of Component Images of Multispectral Data by Denoising with Reference." Remote Sensing 11, no. 6 (2019): 611. http://dx.doi.org/10.3390/rs11060611.
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Multispectral remote sensing data may contain component images that are heavily corrupted by noise and the pre-filtering (denoising) procedure is often applied to enhance these component images. To do this, one can use reference images—component images having relatively high quality and that are similar to the image subject to pre-filtering. Here, we study the following problems: how to select component images that can be used as references (e.g., for the Sentinel multispectral remote sensing data) and how to perform the actual denoising. We demonstrate that component images of the same resolution as well as component images of a better resolution can be used as references. To provide high efficiency of denoising, reference images have to be transformed using linear or nonlinear transformations. This paper proposes a practical approach to doing this. Examples of denoising tests and real-life images demonstrate high efficiency of the proposed approach.
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Lu, Huayuan, Chunfang Yang, Baojun Qi, Ma Zhu, and Jingqian Xu. "Image Geolocation Method Based on Attention Mechanism Front Loading and Feature Fusion." Wireless Communications and Mobile Computing 2022 (June 14, 2022): 1–16. http://dx.doi.org/10.1155/2022/7168451.
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Image geolocation is an important technique for robotics and autonomous systems. The existing methods mainly extract local features from images directly and use global descriptors, which are aggregated by these local features, to retrieve candidate references from all references. Thus, the training efficiency is affected by the image noises and the accuracy is so limited that the further verification is extremely time consuming. To address these issues, this work proposes an image geolocation framework, which adds the noise filtering layer before local feature extraction. Based on this framework, an image geolocation method based on attention mechanism front loading and feature fusion is designed. In the noise filtering layer, the proposed method uses triplet attention to denoise images thus leading to higher training efficiency. In the feature aggregation layer, an improved SPP (spatial pyramid pooling) is designed to extract the local factors reflected by the position relationships among local features. Then, the local factors are incorporated with the global factors extracted by NetVLAD. The fused descriptors contain not only the statistic of the geometric elements but also the position relationships among them. The experimental results show that the proposed method outperforms NetVLAD in terms of the training convergence round and Recall@ N ( N = 1 , 5 , 10 , 20 ); especially, the convergence round of Recall@5 reduces from 25 to 10, the convergence round of Recall@10 reduces from 25 to 7, Recall@1 increases from 79.45% to 84.01%, and Recall@5 increases from 90.10% to 92.81%.
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Giordano, S., A. Le Bris, and C. Mallet. "TOWARD AUTOMATIC GEOREFERENCING OF ARCHIVAL AERIAL PHOTOGRAMMETRIC SURVEYS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2 (May 28, 2018): 105–12. http://dx.doi.org/10.5194/isprs-annals-iv-2-105-2018.
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Images from archival aerial photogrammetric surveys are a unique and relatively unexplored means to chronicle 3D land-cover changes over the past 100 years. They provide a relatively dense temporal sampling of the territories with very high spatial resolution. Such time series image analysis is a mandatory baseline for a large variety of long-term environmental monitoring studies. The current bottleneck for accurate comparison between epochs is their fine georeferencing step. No fully automatic method has been proposed yet and existing studies are rather limited in terms of area and number of dates. State-of-the art shows that the major challenge is the identification of ground references: cartographic coordinates and their position in the archival images. This task is manually performed, and extremely time-consuming. This paper proposes to use a photogrammetric approach, and states that the 3D information that can be computed is the key to full automation. Its original idea lies in a 2-step approach: (i) the computation of a coarse absolute image orientation; (ii) the use of the coarse Digital Surface Model (DSM) information for automatic absolute image orientation. It only relies on a recent orthoimage+DSM, used as master reference for all epochs. The coarse orthoimage, compared with such a reference, allows the identification of dense ground references and the coarse DSM provides their position in the archival images. Results on two areas and 5 dates show that this method is compatible with long and dense archival aerial image series. Satisfactory planimetric and altimetric accuracies are reported, with variations depending on the ground sampling distance of the images and the location of the Ground Control Points.
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Tee, Jia Jian, Renuganth Varatharajoo, and Sabine Klinkner. "UPM Satellite Ground Station Data for Borneo NDVI Image Analysis." E3S Web of Conferences 477 (2024): 00017. http://dx.doi.org/10.1051/e3sconf/202447700017.
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Small satellites have been developed and used for earth observations as the remote sensing data can be used to perform analysis such as weather forecasts, vegetation monitorings, climate changes, and disaster monitorings. The Flying Laptop satellite (Flying Laptop) is the first small satellite developed by the University of Stuttgart (Germany), which is mainly used for research and development projects. The raw data obtained from Flying Laptop is used in the data analysis and data processing, which involve the ground tracks and images analysis. The filtered images are used to formulate Normalized Difference Vegetation Index (NDVI) plots, which are broadly used for the vegetation monitor in recent years. Due to the weather influences and the available filter in the Flying Laptop imaging payload, the generated NDVI plot needs to be improved in terms of its contrast and the difference in an identification of landcover type for better monitoring purposes. The ground track analysis and image comparison with respect to the fixed ground were used to identify the location of the image being captured and filtered out for unusable images. The formulation of NDVI is repeated with cloud maskings using Normalized Difference Water Index (NDWI) as references and accordingly normalized the plot in a logarithmic scale. The proposed method of using the cloud masking with references to NDWI improves the contrast of the overall NDVI plots. The usage of automation also helps to improve the efficiency in generating NDVI plots.
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Kaur, Harpreet, Deepika Koundal, Virendar Kadyan, Navneet Kaur, and Kemal Polat. "Automated Multimodal image fusion for brain tumor detection." Journal of Artificial Intelligence and Systems 3, no. 1 (2021): 68–82. http://dx.doi.org/10.33969/ais.2021.31005.
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In medical domain, various multimodalities such as Computer tomography (CT) and Magnetic resonance imaging (MRI) are integrated into a resultant fused image. Image fusion (IF) is a method by which vital information can be preserved by extracting all important information from the multiple images into the resultant fused image. The analytical and visual image quality can be enhanced by the integration of different images. In this paper, a new algorithm has been proposed on the basis of guided filter with new fusion rule for the fusion of different imaging modalities such as MRI and Fluorodeoxyglucose images of brain for the detection of tumor. The performance of the proposed method has been evaluated and compared with state-of-the-art image fusion techniques using various qualitative as well as quantitative evaluation metrics. From the results, it has been observed that more information has achieved on edges and content visibility is also high as compared to the other techniques which makes it more suitable for real applications. The experimental results are evaluated on the basis of with-reference and without-references metric such as standard deviation, entropy, peak signal to noise ratio, mutual information etc.
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Zhou, Fuqun, Detang Zhong, and Rihana Peiman. "Reconstruction of Cloud-free Sentinel-2 Image Time-series Using an Extended Spatiotemporal Image Fusion Approach." Remote Sensing 12, no. 16 (2020): 2595. http://dx.doi.org/10.3390/rs12162595.
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Time-series for medium spatial resolution satellite imagery are a valuable resource for environmental assessment and monitoring at regional and local scales. Sentinel-2 satellites from the European Space Agency (ESA) feature a multispectral instrument (MSI) with 13 spectral bands and spatial resolutions from 10 m to 60 m, offering a revisit range from 5 days at the equator to a daily approach of the poles. Since their launch, the Sentinel-2 MSI image time-series from satellites have been used widely in various environmental studies. However, the values of Sentinel-2 image time-series have not been fully realized and their usage is impeded by cloud contamination on images, especially in cloudy regions. To increase cloud-free image availability and usage of the time-series, this study attempted to reconstruct a Sentinel-2 cloud-free image time-series using an extended spatiotemporal image fusion approach. First, a spatiotemporal image fusion model was applied to predict synthetic Sentinel-2 images when clear-sky images were not available. Second, the cloudy and cloud shadow pixels of the cloud contaminated images were identified based on analysis of the differences of the synthetic and observation image pairs. Third, the cloudy and cloud shadow pixels were replaced by the corresponding pixels of its synthetic image. Lastly, the pixels from the synthetic image were radiometrically calibrated to the observation image via a normalization process. With these processes, we can reconstruct a full length cloud-free Sentinel-2 MSI image time-series to maximize the values of observation information by keeping observed cloud-free pixels and calibrating the synthetized images by using the observed cloud-free pixels as references for better quality.
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Li, Yueling. "City Image Research: Theoretical Frameworks, Perspectives, and MethodologiesA Citespace Bibliometric Analysis of SSCI Literature from 2013 to 2023." Communications in Humanities Research 27, no. 1 (2024): 12–22. http://dx.doi.org/10.54254/2753-7064/27/20232105.
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City image research, as a burgeoning paradigm within communication studies, lacks a comprehensive analysis and empirical research on foreign city images. Employing bibliometric methods, this study utilizes CiteSpace to visually analyze research literature on city images published in SSCI journals between 2013 and 2023. It visualizes co-occurrences of keywords, clusters, timeline of main themes, and knowledge maps. The findings reveal that foreign city image research is characterized by diverse perspectives, spanning disciplines such as geography, sociology, and psychology, constructing complex theoretical frameworks. Methodologically, it exhibits depth and complexity, encompassing macro and micro levels, incorporating traditional quantitative methods and integrating new computational methods like computer vision, network analysis, and spatiotemporal analysis. Moreover, numerous studies combine city image analysis with urban planning, marketing, community development, utilizing big data and artificial intelligence technologies for in-depth analysis. This paper summarizes the field and current status of foreign city image research, offering theoretical perspectives and methodological references for domestic studies.
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Frankewitsch, T., H. U. Prokosch, and F. J. Kammerer. "Design of a Web Portal for Interdisciplinary Image Retrieval from Multiple Online Image Resources." Methods of Information in Medicine 48, no. 04 (2009): 361–70. http://dx.doi.org/10.3414/me0581.
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Summary Objectives: Images play an important role in medicine. Finding the desired images within the multitude of online image databases is a time-consuming and frustrating process. Existing websites do not meet all the requirements for an ideal learning environment for medical students. This work intends to establish a new web portal providing a centralized access point to a selected number of online image databases. Methods: A back-end system locates images on given websites and extracts relevant meta-data. The images are indexed using UMLS and the MetaMap system provided by the US National Library of Medicine. Specially developed functions allow to create individual navigation structures. The front-end system suits the specific needs of medical students. A navigation structure consisting of several medical fields, university curricula and the ICD-10 was created. The images may be accessed via the given navigation structure or using different search functions. Cross-references are provided by the semantic relations of the UMLS. Results: Over 25,000 images were identified and indexed. A pilot evaluation among medical students showed good first results concerning the acceptance of the developed navigation structures and search features. Conclusion: The integration of the images from different sources into the UMLS semantic network offers a quick and an easy-to-use learning environment.
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Cahya Vidiani, Mila, Leny Latifah, and Yeti Kartikasari. "Analysis of The Utilization of The Automatic Exposure Control (AEC) Feature in The Use of Deep Learning Breast Image Technology in Women's Mammogram Screening Examinations at Dharmais Cancer Hospital." International Journal of Social Health 2, no. 10 (2023): 836–45. http://dx.doi.org/10.58860/ijsh.v2i10.115.
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Deep learning technology is useful for radiology specialists as double reading to help increase the accuracy of image interpretation results. One of the preparations for maximizing the use of this technology is using good-quality images as the source. The Automatic Exposure Control (AEC) feature, which functions to determine exposure factors automatically, is expected to help produce images with good and consistent quality so that deep learning technology can work more effectively. This research aims to determine the quality results of mammogram images taken using the AEC feature and to analyze the use of deep learning technology in evaluating mammogram images. This research method is retrospective by collecting 800 mammogram images randomly and anonymously. Three hundred images were tested, 500 were evaluated, and 250 were analyzed for image quality based on references related to applying AEC and assessing the contrast-to-noise ratio (CNR). Deep learning technology was analyzed by comparing the results of mammogram image evaluation using deep learning and the evaluation results of a radiology specialist. Deep learning technology analysis shows that 98% of mammograms have the same results as the radiology doctor's evaluation, and 2% have different results from the radiology doctor's evaluation where the image has a dense breast type. The image quality results in this research showed that 97.6% of the 250 samples taken using the AEC feature had good image quality, and 2.4% had poor image quality due to inappropriate breast positioning during the examination.
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Yuan, Ye, Yanxia Wu, Yan Fu, Yulei Wu, Lidan Zhang, and Yan Jiang. "An Advanced SAR Image Despeckling Method by Bernoulli-Sampling-Based Self-Supervised Deep Learning." Remote Sensing 13, no. 18 (2021): 3636. http://dx.doi.org/10.3390/rs13183636.
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As one of the main sources of remote sensing big data, synthetic aperture radar (SAR) can provide all-day and all-weather Earth image acquisition. However, speckle noise in SAR images brings a notable limitation for its big data applications, including image analysis and interpretation. Deep learning has been demonstrated as an advanced method and technology for SAR image despeckling. Most existing deep-learning-based methods adopt supervised learning and use synthetic speckled images to train the despeckling networks. This is because they need clean images as the references, and it is hard to obtain purely clean SAR images in real-world conditions. However, significant differences between synthetic speckled and real SAR images cause the domain gap problem. In other words, they cannot show superior performance for despeckling real SAR images as they do for synthetic speckled images. Inspired by recent studies on self-supervised denoising, we propose an advanced SAR image despeckling method by virtue of Bernoulli-sampling-based self-supervised deep learning, called SSD-SAR-BS. By only using real speckled SAR images, Bernoulli-sampled speckled image pairs (input–target) were obtained as the training data. Then, a multiscale despeckling network was trained on these image pairs. In addition, a dropout-based ensemble was introduced to boost the network performance. Extensive experimental results demonstrated that our proposed method outperforms the state-of-the-art for speckle noise suppression on both synthetic speckled and real SAR datasets (i.e., Sentinel-1 and TerraSAR-X).
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Garofeanu, Dorin. "The liminal season: the image of spring in greek and latin literature." Revista de Istorie și Teorie Literară 17 (December 30, 2023): 406–16. http://dx.doi.org/10.59277/ritl.2023.17.33.
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This article attempts an investigation of the numerous references to spring made by the Ancient Greek and Latin authors in order to offer a more precise understanding of what this season meant for the ancient world. After establishing the temporal frame to which these references allude, a short description of the vernal festivals offers a glimpse of the positive and negative associations of the season that will pervade the references to spring made by the ancient writers. The material investigated reveals that spring was seen as a period of renewal and rebirth, but also as a time fraught with anxiety and worry. Spring is a liminal period of the year, a time of hope and purification, of beauty, fertility and joyous celebration, but also a time of ambiguity and danger. Spring is unpredictable and characterised by an element of incertitude and change unknown to other seasons, its activities may become dangerous, while the feelings it arises may easily turn into uncontrollable passio.
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Yang, Dianyu, Jingfeng Yu, Can Wang, et al. "Side-Scan Sonar Image Matching Method Based on Topology Representation." Journal of Marine Science and Engineering 12, no. 5 (2024): 782. http://dx.doi.org/10.3390/jmse12050782.
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In the realm of underwater environment detection, achieving information matching stands as a pivotal step, forming an indispensable component for collaborative detection and research in areas such as distributed mapping. Nevertheless, the progress in studying the matching of underwater side-scan sonar images has been hindered by challenges including low image quality, intricate features, and susceptibility to distortion in commonly used side-scan sonar images. This article presents a comprehensive overview of the advancements in underwater sonar image processing. Building upon the novel SchemaNet image topological structure extraction model, we introduce a feature matching model grounded in side-scan sonar images. The proposed approach employs a semantic segmentation network as a teacher model to distill the DeiT model during training, extracting the attention matrix of intermediate layer outputs. This emulates SchemaNet’s transformation method, enabling the acquisition of high-dimensional topological structure features from the image. Subsequently, utilizing a real side-scan sonar dataset and augmenting data, we formulate a matching dataset and train the model using a graph neural network. The resulting model demonstrates effective performance in side-scan sonar image matching tasks. These research findings bear significance for underwater detection and target recognition and can offer valuable insights and references for image processing in diverse domains.
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Lai, Chang, Jiyao Xu, Jia Yue, et al. "Automatic Extraction of Gravity Waves from All-Sky Airglow Image Based on Machine Learning." Remote Sensing 11, no. 13 (2019): 1516. http://dx.doi.org/10.3390/rs11131516.
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With the development of ground-based all-sky airglow imager (ASAI) technology, a large amount of airglow image data needs to be processed for studying atmospheric gravity waves. We developed a program to automatically extract gravity wave patterns in the ASAI images. The auto-extraction program includes a classification model based on convolutional neural network (CNN) and an object detection model based on faster region-based convolutional neural network (Faster R-CNN). The classification model selects the images of clear nights from all ASAI raw images. The object detection model locates the region of wave patterns. Then, the wave parameters (horizontal wavelength, period, direction, etc.) can be calculated within the region of the wave patterns. Besides auto-extraction, we applied a wavelength check to remove the interference of wavelike mist near the imager. To validate the auto-extraction program, a case study was conducted on the images captured in 2014 at Linqu (36.2°N, 118.7°E), China. Compared to the result of the manual check, the auto-extraction recognized less (28.9% of manual result) wave-containing images due to the strict threshold, but the result shows the same seasonal variation as the references. The auto-extraction program applies a uniform criterion to avoid the accidental error in manual distinction of gravity waves and offers a reliable method to process large ASAI images for efficiently studying the climatology of atmospheric gravity waves.
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Wang, Xiaodong, and Jing Yu. "The Discourse-Historical Approach of Identity Construction in Corporate Promotional Videos for External Publicity Image." Proceedings of Business and Economic Studies 7, no. 2 (2024): 178–93. http://dx.doi.org/10.26689/pbes.v7i2.6796.
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Corporate identity construction of external publicity image is an important part of the development of enterprises. Based on Wodak’s discourse-historical approach, this study takes the text of COFCO’s English promotional video as the research object, analyzes the corporate brand image, media image, organizational image, and environmental image constructed by the enterprises from three steps: linguistic expression, discourse strategy, and theme to provide references for Chinese enterprises to enhance their international influence.
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De Campos, Rogério G. "Unwritten Doctrine of Pythagoras in Hermias of Alexandria." Peitho. Examina Antiqua 13, no. 1 (2022): 185–98. http://dx.doi.org/10.14746/pea.2022.1.9.
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In Hermias’ commentary on Phaedrus (In Platonis Phaedrum Scholia), it is possible to identify several direct references to the philosophers and pre-Socratic doctrines, including Pythagoras. We point out to three references to Pythagoras in Hermias: (1) Pythagoras is characterized as an unwritten philosopher, (2) there is a special connection with the divinities and Muses, and (3) there is a special connection with the Phaedrus dialogue, revealed by the affinity between Pythagoras and Socrates. We show how the explicit references to Pythagoras in Hermias constitute a certain method of interpreting Platonism: as a philosophy manifested in writing, but which, at the same time, values the unwritten tradition, represented especially by Pythagoras and Socrates. We also demonstrate how the references translated and examined here reveal the image of this Neoplatonic Pythagoras of Hermias, an image which is not necessarily in tune with the oldest doxography, and which permits the reevaluation of Plato’s position as a philosopher who sought to combine unwritten doctrines with his explicit activity as a writer.
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Chiang, Yuan-Ching, Jinn-Tong Chiu, Zhi-Jie Chang, and Dar-Yuan Chang. "An image–temperature model of a microprobe used in wafer testing constructed by particle swarm optimization algorithm." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, no. 18 (2016): 3429–42. http://dx.doi.org/10.1177/0954406216645131.
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The temperature of a minute object is typically measured by an infrared thermograph, a precise and expensive device. This study presents an image–temperature model constructed by particle swarm optimization algorithm to estimate the temperature according to the color image data on object’s surface. The demonstrated case was a palladium alloy microprobe used in wafer testing. Two series of conduction experiments were implemented to imitate the probing condition of the microprobe in wafer testing. Collecting the images captured from a digital video camera and the temperatures measured by the infrared thermograph, the correlations between the color image data and their corresponding temperatures were investigated. An image–temperature model is further constructed by the particle swarm optimization algorithm based on the image components of the RGB and HSV models of the examined pixel. The model developed provides valuable references for making out the electrothermal effect of the palladium alloy microprobe used in wafer testing.
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Merkle, N., R. Müller, P. Schwind, G. Palubinskas, and P. Reinartz. "A NEW APPROACH FOR OPTICAL AND SAR SATELLITE IMAGE REGISTRATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 119–26. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-119-2015.
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Over the last years several research studies have shown the high geometric accuracy of high resolution radar satellites like TerraSARX. Due to this fact, the impact of high resolution SAR images for image registration has increased. An aim of high accuracy image registration is the improvement of the absolute geometric accuracy of optical images by using SAR images as references. High accuracy image registration is required for different remote sensing applications and is an on-going research topic. The registration of images acquired by different sensor types, like optical and SAR images, is a challenging task. In our work, a novel approach is proposed, which is a combination of the classical feature-based and intensity-based registration approaches. In the first step of the method, spatial features, here roundabouts, are detected in the optical image. In the second step, the detected features are used to generate SAR like roundabout templates. In the third step, the templates are matched with the corresponding parts of the SAR image by using an intensitybased matching process. The proposed method is tested for a pair of TerraSAR-X and QuickBird images and a pair of TerraSAR-X and WorldView-2 images of a suburban area. The results show that the proposed method offers an alternative approach compared to the common optical and SAR images registration methods and it can be used for the geometric accuracy improvement of optical images.
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Kornienko, Svetlana Yu. "Pretenders in the Snow: The Image of Marina Mnishek in the Book of Poems by Marina Tsvetaeva “Craft”." Studies in Theory of Literary Plot and Narratology, no. 1 (2023): 69–83. http://dx.doi.org/10.25205/2713-3133-2023-1-69-83.
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The article is devoted to the image of Marina Mnishek in the book of poems by Marina Tsvetaeva “Craft” (1923). The images of the impostors will be reflected in the two cycles included in this book – “Marina” (1921) and “Snowdrifts” (1922). In the Marina cycle, the poet returns to the events of the Time of Troubles, already mastered in her lyrics of 1916. The solution to this historical plot becomes agonistic not only in relation to the historiographic tradition, but also the apology of these heroes in his own early poems. In the cycle of 1921, an alternative history is presented, in which another Marina appears – a poet, a successful rival for the Pretender’s heart. A genealogical study of poetic images reveals a number of sources: D. Mordovtsev, A. Bely, the collection of Kirsha Danilov, etc. References to the epic plot (the songs “Grishka-Rastriga” and “Three years Dobrynushka was so sleepy...”) are clarified by referring to Tsvetaeva’s marks in the draft notebooks 1922 (RGALI). References to the selfproclaimed plot in the Snowdrifts cycle appear when referring to Tsvetaeva’s creative laboratory – her notebooks, draft and white notebooks. In the book of poems “Craft” Tsvetaeva repeatedly uses the neologism “False Marina” invented in the cycle “Marina”, however, if the cycle of 1921 is filled with historical specifics, then in the cycle “Snowdrifts” (1922) the poet turns away from concrete images in favor of pure abstraction. The image of the “False Marine” – In historical and abstract writing – has intersections: an abundance of ornithological metaphors, the magic and chimerical nature of the image, nakedness and readiness for rebirth. Inside the poetic book (here Tsvetaeva repeats the movement of the same plot in the book of poems “Milestones. Issue 1”) the image loses its historicity, moving towards abstract writing. “False Marina” in the “Snowdrifts” cycle is no longer a historical impostor, but a complex of Tsvetaev’s metapoetic principles: the rejection of the name, essence, and even human nature in favor of the infinity of rebirth in other people’s names and bodies. Turning to notebooks and draft notebooks allows us to see the dynamics of the poetic image: the movement from simple to complex, from concrete to abstract, from historical fact to poetic image.
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Kiran Seetharamaswamy, Shashi, and Suresh Kaggere Veeranna. "Super resolution image reconstruction via dual dictionary learning in sparse environment." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 4970. http://dx.doi.org/10.11591/ijece.v12i5.pp4970-4977.
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<span lang="EN-US">Patch-based super resolution is a method in which spatial features from a low-resolution (LR) patch are used as references for the reconstruction of high-resolution (HR) image patches. Sparse representation for each patch is extracted. These coefficients obtained are used to recover HR patch. One dictionary is trained for LR image patches, and another dictionary is trained for HR image patches and both dictionaries are jointly trained. In the proposed method, high frequency (HF) details required are treated as combination of main high frequency (MHF) and residual high frequency (RHF). Hence, dual-dictionary learning is proposed for main dictionary learning and residual dictionary learning. This is required to recover MHF and RHF respectively for recovering finer image details. Experiments are carried out to test the proposed technique on different test images. The results illustrate the efficacy of the proposed algorithm.</span>
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Lu, Yi, Chenyang Huang, Jia Wang, and Peng Shang. "An Improved Quantitative Analysis Method for Plant Cortical Microtubules." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/637183.
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The arrangement of plant cortical microtubules can reflect the physiological state of cells. However, little attention has been paid to the image quantitative analysis of plant cortical microtubules so far. In this paper, Bidimensional Empirical Mode Decomposition (BEMD) algorithm was applied in the image preprocessing of the original microtubule image. And then Intrinsic Mode Function 1 (IMF1) image obtained by decomposition was selected to do the texture analysis based on Grey-Level Cooccurrence Matrix (GLCM) algorithm. Meanwhile, in order to further verify its reliability, the proposed texture analysis method was utilized to distinguish different images of Arabidopsis microtubules. The results showed that the effect of BEMD algorithm on edge preserving accompanied with noise reduction was positive, and the geometrical characteristic of the texture was obvious. Four texture parameters extracted by GLCM perfectly reflected the different arrangements between the two images of cortical microtubules. In summary, the results indicate that this method is feasible and effective for the image quantitative analysis of plant cortical microtubules. It not only provides a new quantitative approach for the comprehensive study of the role played by microtubules in cell life activities but also supplies references for other similar studies.
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Bender, Hendrik, and Max Kanderske. "Co-operative aerial images: A geomedia history of the view from above." New Media & Society 24, no. 11 (2022): 2468–92. http://dx.doi.org/10.1177/14614448221122201.
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This article approaches aerial images from a media geographical perspective, tracing the development of three modes of seeing from above: historical aerial reconnaissance before and after the introduction of aerial photography; the advent of satellite-based remote sensing during the space age; and finally the development of drone-based imaging practices in the second half of the 20th century. Starting from the assumption that the aerial image is not a geomedium per se, but rather one that emerges as such through various co-operative processes of establishing geographical references with and within it, we draw on Goodwin’s notions of “co-operative action” and Farocki’s concept of “operative imagery” to theorize useful aerial images as co-operative images. Consequently, our historical analysis looks beyond the aerial image itself, taking into account the wider practices, infrastructures, and intended use cases involved in its operationalization.
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LEE, MAL-REY. "3D SHAPE RECONSTRUCTION OF HYBRID REFLECTANCE USING THE LMS ALGORITHM." International Journal of Pattern Recognition and Artificial Intelligence 15, no. 04 (2001): 723–34. http://dx.doi.org/10.1142/s0218001401001040.
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In this paper, we present a new approach for determining the reflectance properties of surface and recovering 3D shapes from intensity images. We determine reflectance parameters which minimize the sum squared difference of the intensity distribution between the image of a sample sphere and the calculated image. The estimated reflectance parameters provide the range data with intensity distributions. Therefore, we generate three reference images of a range sphere, which has the same diameter as that of the sample, from the same viewpoint but with different light directions. Direct matching of the object images to the references can precisely reconstruct the shape of the object. This paper uses a plate diffuse illumination to alleviate the effects of specular spike and highlights. The simulation results show that the proposed method can estimate reflectance properties of the hybrid surface, and also recover the object shape.
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Mahardhika, Satrya. "Pendekatan Pemandangan Realistik dengan Menggunakan Digital Matte Painting." Humaniora 2, no. 1 (2011): 422. http://dx.doi.org/10.21512/humaniora.v2i1.3051.
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Movie is one entertainment that is favored by most people. Scenery appearance and spectacular shoots made movie needs high budget for the production. There are shoots looking difficult and needing extra efforts, but obviously it could be solved by using latest technology. Such technology is a combination of 3D and digital painting or image so it could bring digital painting alive: matte painting, a breakthrough in visual effects and movie. The research is conducted through exploration from manipulated images, references and retrieved real images in the specific place. Camera movement is also an important frame to define how far the image will be seen in the camera. So, when it is applied, it has no images that less-showed in camera framing. Although it has limitation in 2D images taken from limited frame, digital matte painting is able to answer industry needs in entertainment to create things that look real.
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Bron, Cph, Ph Gremillet, D. Launay, et al. "Scanning Transmission and Computer-Aided Volumic Electron Microscopy: 3D Modeling of Entire Cells by Electronic Imaging." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 1 (1990): 468–69. http://dx.doi.org/10.1017/s0424820100181099.
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The digital processing of electron microscopic images from serial sections containing laser-induced topographical references allows a 3-D reconstruction at a depth resolution of 30 to 40 nm of entire cells by the use of image analysis methods, as already demonstrated for Transmission Electron Microscopy (TEM) coupled with a video camera. (Cf ref)We decided to use a Scanning Transmission Electron Microscope (STEM) to get higher contrast and better resolution at medium magnification. The scanning of our specimens at video frequencies is an attractive and easy way to link a STEM with an image processing system (see Fig 1) but the hysteresis of the electronic spools responsible for the magnetic deviation of the scanning electron beam induces deformations of images which have to be modelized and corrected before registration. Computer algorithms developed for image analysis and treatment correct the artifacts caused by the use of STEM and by serial sectioning to automatically reconstruct the third dimension of the cells.(see Figs 2 and 3) They permit the normalization of the images through logarithmic processing of the original grey level information. The automatic extraction of cell limits allows to link the image analysis and treatments with image synthesis methods by minimal human intervention. The surface representation and the registered images provide an ultrastructural data base from which quantitative 3-D morphological parameters, as well as otherwise impossible visualizations, can be computed.
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Yablonsky, Milena. "Text and Image in Translation." CLEaR 3, no. 2 (2016): 40–51. http://dx.doi.org/10.1515/clear-2016-0013.
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Abstract The primary objective of the following paper is the analysis of selected issues related to the translation of comic books. The paper aims at investigating the relationships between the text and the image and their implications in the process of translation. It reflects on the status of the translation of comics/graphic novels - a still largely unexploited area within Translation Studies and briefly presents a definition and specificity of the genre. Moreover, it discusses Jakobson’s (1971) tripartite distinction into interlinguistic, intralinguistic and intersemiotic translation. The paper concludes with the analysis of certain issues associated with the Polish translation of V like Vendetta by Alan Moore, a text that is copious with intertextual and cultural references.
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Zhang, Yuxin, Weiming Dong, Fan Tang, et al. "ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models." ACM Transactions on Graphics 42, no. 6 (2023): 1–14. http://dx.doi.org/10.1145/3618342.
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Personalizing generative models offers a way to guide image generation with user-provided references. Current personalization methods can invert an object or concept into the textual conditioning space and compose new natural sentences for text-to-image diffusion models. However, representing and editing specific visual attributes such as material, style, and layout remains a challenge, leading to a lack of disentanglement and editability. To address this problem, we propose a novel approach that leverages the step-by-step generation process of diffusion models, which generate images from low to high frequency information, providing a new perspective on representing, generating, and editing images. We develop the Prompt Spectrum Space P*, an expanded textual conditioning space, and a new image representation method called ProSpect. ProSpect represents an image as a collection of inverted textual token embeddings encoded from per-stage prompts, where each prompt corresponds to a specific generation stage (i.e., a group of consecutive steps) of the diffusion model. Experimental results demonstrate that P* and ProSpect offer better disentanglement and controllability compared to existing methods. We apply ProSpect in various personalized attribute-aware image generation applications, such as image-guided or text-driven manipulations of materials, style, and layout, achieving previously unattainable results from a single image input without fine-tuning the diffusion models. Our source code is available at https://github.com/zyxElsa/ProSpect.
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Zumbusch, Cornelia. "Vor- und Nachgeschichte Bild und Zeit bei Walter Benjamin." Zeitschrift für Kunstgeschichte 81, no. 2 (2018): 198–212. http://dx.doi.org/10.1515/zkg-2018-0014.
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Abstract Benjamin’s approach to the history of the nineteenth century as a prehistory (Vorgeschichte) of modernity relies on his concept of the dialectical image. Starting from Benjamin’s interpretation of Proust’s narrative endeavor as the evocation of images that have not been seen before, this essay tries to situate Benjamin’s dialektisches Bild in new contexts. Examining Benjamin’s interest in Goethe’s Urphänomen as well as implicit references to Lessing’s concept of fruchtbarer Augenblick or Cassirer’s idea of symbolische Prägnanz, this essay stresses not so much the important but often considered aspects of discontinuity and destruction of chronological time, but tries to trace a hidden agenda: the affinity of Benjamin’s dialectical image to genetic processes.
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Wang, Keqi. "Digital Image Shaping of Micro-celebrity City: Brand Building and Communication of Chongqing City Image on the Platform of TikTok." Transactions on Social Science, Education and Humanities Research 7 (May 6, 2024): 60–69. http://dx.doi.org/10.62051/ymgetw08.
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This paper aims to discuss how the social media platform represented by TikTok influences and shapes the micro-celebrity city in the digital era. This paper takes Chongqing as the research object. Through in-depth analysis and interviews, it was found that Chongqing is very popular on TikTok because of its unique three-dimensional traffic, magical architecture, and food culture. These elements form a unique visual symbol of Chongqing through creative digital image expression and social interaction, attracting many tourists and deepening people’s impression and comprehension of the city. This study reveals the crucial role of digital images in shaping the image of contemporary cities and provides new perspectives and strategic suggestions for urban brand management and social media marketing. Through an in-depth discussion of content creation, communication mechanisms, and user interaction on platforms such as TikTok, this study provides valuable insights and references for city image communication and city brand building.
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Li, Yiyang. "Digital signal processing techniques for image enhancement and restoration." Applied and Computational Engineering 17, no. 1 (2023): 198–205. http://dx.doi.org/10.54254/2755-2721/17/20230940.
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Digital image processing has become a fundamental tool in modern image processing, including image enhancement and restoration. This paper reviews important image enhancement and restoration techniques in digital image processing. First, some important image enhancement techniques such as histogram equalization are introduced and compared in detail, including their advantages, disadvantages, and application scenarios. Secondly, for image restoration techniques, this paper introduces deblurring techniques such as deconvolution and blind deconvolution, explaining their working principles and application scenarios in detail. Finally, this paper introduces the development and applications of super-resolution technology, and explores their possible future development directions. This review provides comprehensive technical references for researchers in digital image processing.
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Fontes, Maria Aparecida. "As múltiplas conexões entre escrita e imagem." e-Letras com Vida: Revista de Estudos Globais — Humanidades, Ciências e Artes 07 (2021): 15–29. http://dx.doi.org/10.53943/elcv.0221_03.
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In this article, I propose a critical-analytical reading of the relations between writing and images and their multiple connections, supported by the review of mimetic and semiological conceptual references that enabled the identification of the moment of annulment of the veto to the imaginary. The rupture with traditional mimetic procedures contributed to the almost complete dissolution of the limits between writing and image, triggering multiple connections between them in times of globalization, hybridization, and hypertexts.
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Song, Shaoyue, Hongkai Yu, Zhenjiang Miao, et al. "Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12023–30. http://dx.doi.org/10.1609/aaai.v34i07.6879.
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Although there are many existing research works about the salient object detection (SOD) in RGB images, there are still many complex situations that regular RGB images cannot provide enough cues for the accurate SOD, such as the shadow effect, similar appearance between background and foreground, strong or insufficient illumination, etc. Because of the success of near-infrared spectrum in many computer vision tasks, we explore the multi-spectral SOD in the synchronized RGB images and near-infrared (NIR) images for the both simple and complex situations. We assume that the RGB SOD in the existing RGB image datasets could provide references for the multi-spectral SOD problem. In this paper, we first collect and will publicize a large multi-spectral dataset including 780 synchronized RGB and NIR image pairs for the multi-spectral SOD problem in the simple and complex situations. We model this research problem as an adversarial domain adaptation from the existing RGB image dataset (source domain) to the collected multi-spectral dataset (target domain). Experimental results show the effectiveness and accuracy of the proposed adversarial domain adaptation for the multi-spectral SOD.
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Beugnet, Martine, and Kriss Ravetto-Biagioli. "The Image Book." Alphaville: Journal of Film and Screen Media, no. 23 (July 15, 2022): 10–31. http://dx.doi.org/10.33178/alpha.23.01.
Full textAbstract:
Drawing inspiration from Denis de Rougemont’s 1936 text Penser avec les mains, Jean-Luc Godard’s most recent film brings together what the Swiss philosopher calls “penser engagé” with his own unique kind of “cinéma engagé.” The Image Book (Le Livre d’image, 2018) starts with three image-gestures that punctuate the film: the cropped close-up of the right hand of Leonardo da Vinci’s St. John The Baptist, French illustrator Joseph Pinchon’s drawing of Bécassine with her upwards pointing left hand, and the hands of the filmmaker joining together spools of film at a Steenbeck editing table. Like many other “late” Godard films, The Image Book is a multilayered assemblage of quotations, sounds, music, art and cinematic references. Yet, unlike some of its predecessors, this film questions the monolithic (Occidental) way of seeing the world, including Godard’s younger self. Combining citations from films, works of art and philosophical texts from the Maghreb and the Middle East, the film offers itself as an exercise in “thinking with one’s hands” that results in the unflinching critique of Orientalism in the twenty-first century as well as an imaginative attempt to reach out to, if not join alongside with, the other.