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Articles de revues sur le sujet « Image »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 25 juillet 2025

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1

Silva, Adriano Alves da. "O TEMPO IMAGÉTICO: a condensação do tempo na imagem fotográfica e a eternidade cíclica na imagem fílmica." Revista Observatório 4, no. 1 (2018): 879. http://dx.doi.org/10.20873/uft.2447-4266.2018v4n1p879.

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Os profissionais da comunicação buscam criar e midiatizar imagens dotadas de sentido. O conhecimento de saberes que permitem entender como são percebidas as imagens se colocam como uma importante ferramenta, tanto para a produção, quanto para a interpretação destas. Este estudo tem como premissa discutir, problematizar e realizar ensaio artístico autoral sobre a ideia de tempo-imagem, tanto na imagem estática, quanto fílmica, a luz dos conceitos apresentados por Jacques Aumont no livro “A Imagem”.  PALAVRAS-CHAVE: Narrativas visuais; imagem-tempo; fotografia; cinema.  &

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Legland, David, and Marie-Françoise Devaux. "ImageM: a user-friendly interface for the processing of multi-dimensional images with Matlab." F1000Research 10 (April 30, 2021): 333. http://dx.doi.org/10.12688/f1000research.51732.1.

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Modern imaging devices provide a wealth of data often organized as images with many dimensions, such as 2D/3D, time and channel. Matlab is an efficient software solution for image processing, but it lacks many features facilitating the interactive interpretation of image data, such as a user-friendly image visualization, or the management of image meta-data (e.g. spatial calibration), thus limiting its application to bio-image analysis. The ImageM application proposes an integrated user interface that facilitates the processing and the analysis of multi-dimensional images within the Matlab env

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Vijayalakshmi, A., and V. Girish. "Affordable image analysis using NIH Image/ImageJ." Indian Journal of Cancer 41, no. 1 (2004): 47. http://dx.doi.org/10.4103/0019-509x.12345.

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Arti Verma. "Digital Image Processing of SEM image of Polymer Nanocomposite Thin Film Using Java Based Program Image J." Power System Technology 43, no. 2 (2019): 44–46. https://doi.org/10.52783/pst.1135.

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Various images obtain from TEM; SEM can be analyzed with the help of computer image analysis software. Image processing is used to describe the size, shape, surface topography of micro or nano structure materials. In the present paper the characterization analysis is being reported qualitatively by using digital image processing of SEM/TEM image of some nanomaterials. This novel technique is an effective experimental tool for the detailed structural characterization. For image processing Java based software ImageJ is used in the present study.

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Budige, Usharani, and Srikar Goud Konda. "Text To Image Generation By Using Stable Diffusion Model With Variational Autoencoder Decoder." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 514–19. http://dx.doi.org/10.22214/ijraset.2023.56024.

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Abstract: Imagen is a text-to-image diffusion model with a profound comprehension of language and an unmatched level of photorealism. Imagen relies on the potency of diffusion models for creating high-fidelity images and draws on the strength of massive transformer language models for comprehending text. Our most important finding is that general large language models, like T5, pretrained on text-only corpora, are surprisingly effective at encoding text for image synthesis: expanding the language model in Imagen improves sample fidelity and image to text alignment much more than expanding the

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Janagam, Raju, and K. Yakub Reddy. "Automatic Image Captions for Lightly Labelled Images." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 452–54. http://dx.doi.org/10.31142/ijtsrd10786.

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Liang, Bo, Xi Chen, Lan Yu, et al. "High-precision Multichannel Solar Image Registration Using Image Intensity." Astrophysical Journal Supplement Series 261, no. 2 (2022): 10. http://dx.doi.org/10.3847/1538-4365/ac7232.

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Abstract Solar images observed in different channels with different instruments are crucial to the study of solar activity. However, the images have different fields of view, causing them to be misaligned. It is essential to accurately register the images for studying solar activity from multiple perspectives. Image registration is described as an optimizing problem from an image to be registered to a reference image. In this paper, we proposed a novel coarse-to-fine solar image registration method to register the multichannel solar images. In the coarse registration step, we used the regular

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Niitsu, M., H. Hirohata, H. Yoshioka, I. Anno, N. G. Campeau, and Y. Itai. "Magnetization Transfer Contrast on Gradient Echo MR Imaging of the Temporomandibular Joint." Acta Radiologica 36, no. 3 (1995): 295–99. http://dx.doi.org/10.1177/028418519503600317.

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Thirty-nine temporomandibular joints (TMJ) from 20 patients with suspected internal derangements were imaged by a 1.5 T MR imager. The on-resonance binomial magnetization transfer contrast (MTC) pulse was applied to gradient echo images with a dual receiver coil (9 s/section). With the use of an opening device, a series of sequential images were obtained at increments of mouth opening and closing. The tissue signal intensities with (Ms) and without (Mo) MTC were measured and subjective image analysis was performed. Compared with the standard images, MTC technique provided selective signal supp

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Strauss, Lourens Jochemus, and William ID Rae. "Image quality dependence on image processing software in computed radiography." South African Journal of Radiology 16, no. 2 (2012): 44–48. http://dx.doi.org/10.4102/sajr.v16i2.305.

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Background. Image post-processing gives computed radiography (CR) a considerable advantage over film-screen systems. After digitisation of information from CR plates, data are routinely processed using manufacturer-specific software. Agfa CR readers use MUSICA software, and an upgrade with significantly different image appearance was recently released: MUSICA2. Aim. This study quantitatively compares the image quality of images acquired without post-processing (flatfield) with images processed using these two software packages. Methods. Four aspects of image quality were evaluated.

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Shete, S. G., and Nagnath G. Ghadge. "Image Processing in MATLAB 9.3." International Journal of Trend in Scientific Research and Development 2, no. 2 (2018): 925–29. https://doi.org/10.31142/ijtsrd9545.

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In this paper we introduce how to handle different kinds of image formats in MATLAB 9.3 by using Matlab Workspace and its Various Commands. Also we illustrated example of processing the images. Shete S. G. | Ghadge Nagnath G. "Image Processing in MATLAB 9.3" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: https://www.ijtsrd.com/papers/ijtsrd9545.pdf

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Alessandro, Massaro, Vitti Valeria, and Galiano Angelo. "Automatic Image Processing Engine Oriented on Quality Control of Electronic Boards." Signal & Image Processing : An International Journal (SIPIJ) 9, no. 2 (2019): 1–14. https://doi.org/10.5281/zenodo.3243307.

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ABSTRACT We propose in this work a study of an image processing engine able to detect automatically the features of electronic board weldings. The engine has been developed by using ImageJ and OpenCV libraries. Specifically the image processing segmentation has been improved by watershed approach. After a complete design of the automation processes, different test have been performed showing the engine efficiency in terms of features extraction, scale setting and thresholding calibration. The engine provides as outputs the storage of the cropped images of each single defects. The proposed engi

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Asri, Isnindar Tandya, Chomsin Sulistya Widodo, and Yuyun Yueniwati Prabowowati Wadjib. "Comparison of Grayscale Value in T1-Weighted Pre- and Post-Contrast Brain MRI Images: with and without Fat Suppression Technique." Journal of Physics: Conference Series 2049, no. 1 (2021): 012057. http://dx.doi.org/10.1088/1742-6596/2049/1/012057.

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Abstract The MRI T1-weighted image can provide information on the pre- and post-contrast images. Post-contrast images is an image obtained after the administration of GBCA In some cases, not all post-contrast images can show clear lesions so it requires additional technique in the form of Fat Suppression (FS), which works by suppressing the fat signal in an image. The T1-weighted images with and without FS have a different signal intensity. Therefore, the purpose of this study is to compare the signal intensity of the pre- and post-contrast T1-weighted images with and without the FS technique.

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Shapiro, Alan. "Images: Real and Virtual, Projected and Perceived, from Kepler to Dechales." Early Science and Medicine 13, no. 3 (2008): 270–312. http://dx.doi.org/10.1163/157338208x285044.

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AbstractIn developing a new theory of vision in Ad Vitellionem paralipomena (1604) Kepler introduced a new optical concept, pictura, which is an image projected on to a screen by a camera obscura. He distinguished this pictura from an imago, the traditional image of medieval optics that existed only in the imagination. By the 1670s a new theory of optical imagery had been developed, and Kepler's pictura and imago became real and virtual images, two aspects of a unified concept of image. The new concept of image developed out of a synthesis of Kepler's determination of the geometrical location

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D, Shahi. "Reversible Steganography for RGB Images Using Image Interpolation." Journal of Advanced Research in Dynamical and Control Systems 12, no. 3 (2020): 41–49. http://dx.doi.org/10.5373/jardcs/v12i3/20201165.

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Rani, V. Amala, and Dr Lalithakumari S. "Efficient Hybrid Multimodal Image Fusion for Brain Images." Journal of Advanced Research in Dynamical and Control Systems 12, no. 8 (2020): 116–23. http://dx.doi.org/10.5373/jardcs/v12i8/20202453.

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Vivekalakshmi, R., B. Yaalini, and S. Karthik Raja Ms Sruthi Anand. "Image Re-Ranking Modernistic Structure for Web Images." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (2017): 535–38. http://dx.doi.org/10.31142/ijtsrd7005.

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Nandeesh, M. D., and Dr M. Meenakshi. "Image Fusion Algorithms for Medical Images-A Comparison." Bonfring International Journal of Advances in Image Processing 5, no. 3 (2015): 23–26. http://dx.doi.org/10.9756/bijaip.8051.

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Yahanda, Alexander T., Timothy J. Goble, Peter T. Sylvester, et al. "Impact of 3-Dimensional Versus 2-Dimensional Image Distortion Correction on Stereotactic Neurosurgical Navigation Image Fusion Reliability for Images Acquired With Intraoperative Magnetic Resonance Imaging." Operative Neurosurgery 19, no. 5 (2020): 599–607. http://dx.doi.org/10.1093/ons/opaa152.

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Abstract BACKGROUND Fusion of preoperative and intraoperative magnetic resonance imaging (iMRI) studies during stereotactic navigation may be very useful for procedures such as tumor resections but can be subject to error because of image distortion. OBJECTIVE To assess the impact of 3-dimensional (3D) vs 2-dimensional (2D) image distortion correction on the accuracy of auto-merge image fusion for stereotactic neurosurgical images acquired with iMRI using a head phantom in different surgical positions. METHODS T1-weighted intraoperative images of the head phantom were obtained using 1.5T iMRI.

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Tetard, Martin, Ross Marchant, Giuseppe Cortese, Yves Gally, Thibault de Garidel-Thoron, and Luc Beaufort. "Technical note: A new automated radiolarian image acquisition, stacking, processing, segmentation and identification workflow." Climate of the Past 16, no. 6 (2020): 2415–29. http://dx.doi.org/10.5194/cp-16-2415-2020.

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Abstract. Identification of microfossils is usually done by expert taxonomists and requires time and a significant amount of systematic knowledge developed over many years. These studies require manual identification of numerous specimens in many samples under a microscope, which is very tedious and time-consuming. Furthermore, identification may differ between operators, biasing reproducibility. Recent technological advances in image acquisition, processing and recognition now enable automated procedures for this process, from microscope image acquisition to taxonomic identification. A new wo

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Calderón Noguera, Donald Freddy. "La imagen del indio en Ingermina o la hija de Calamar de Juan José Nieto: de la hija de Calamar a la hija de Velásquez." La Palabra, no. 17 (April 12, 2012): 17–28. http://dx.doi.org/10.19053/01218530.n17.2010.930.

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Este artículo constituye un avance de investigación del proyecto Imago: construcción de la Imagen de América Latina a través de la Literatura y las Artes, el cual tiene como propósito problematizar , de manera interdisciplinaria, el papel de los textos artísticos en la construcción de la imagen que tenemos sobre nuestra región continental. Se presenta una reflexión teórica acerca de la imagen y se deletrea la novela Ingermina, recomponiendo la imagen del indio desde las refracciones que espejea el texto. Palabras clave:Palabras clave: imagen, indio, novela, campesino.Abstract:This article cons

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Madhu, Shrija, and Mohammed Ali Hussain. "Securing Medical Images by Image Encryption using Key Image." International Journal of Computer Applications 104, no. 3 (2014): 30–34. http://dx.doi.org/10.5120/18184-9079.

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Han, Z., X. Tang, X. Gao, and F. Hu. "IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W1 (July 12, 2013): 33–36. http://dx.doi.org/10.5194/isprsarchives-xl-7-w1-33-2013.

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Sanderson, H. "Image segmentation for compression of images and image sequences." IEE Proceedings - Vision, Image, and Signal Processing 142, no. 1 (1995): 15. http://dx.doi.org/10.1049/ip-vis:19951681.

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Schneider, Caroline A., Wayne S. Rasband, and Kevin W. Eliceiri. "NIH Image to ImageJ: 25 years of image analysis." Nature Methods 9, no. 7 (2012): 671–75. http://dx.doi.org/10.1038/nmeth.2089.

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Kinosita, K., H. Itoh, S. Ishiwata, K. Hirano, T. Nishizaka, and T. Hayakawa. "Dual-view microscopy with a single camera: real-time imaging of molecular orientations and calcium." Journal of Cell Biology 115, no. 1 (1991): 67–73. http://dx.doi.org/10.1083/jcb.115.1.67.

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A new microscope technique, termed "W" (double view video) microscopy, enables simultaneous observation of two different images of an object through a single video camera or by eye. The image pair may, for example, be transmission and fluorescence, fluorescence at different wavelengths, or mutually perpendicular components of polarized fluorescence. Any video microscope can be converted into a dual imager by simple insertion of a small optical device. The continuous appearance of the dual image assures the best time resolution in existing and future video microscopes. As an application, orient

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Sedlak, René, Andreas Welscher, Patrick Hannawald, Sabine Wüst, Rainer Lienhart, and Michael Bittner. "Analysis of 2D airglow imager data with respect to dynamics using machine learning." Atmospheric Measurement Techniques 16, no. 12 (2023): 3141–53. http://dx.doi.org/10.5194/amt-16-3141-2023.

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Abstract. We demonstrate how machine learning can be easily applied to support the analysis of large quantities of excited hydroxyl (OH*) airglow imager data. We use a TCN (temporal convolutional network) classification algorithm to automatically pre-sort images into the three categories “dynamic” (images where small-scale motions like turbulence are likely to be found), “calm” (clear-sky images with weak airglow variations) and “cloudy” (cloudy images where no airglow analyses can be performed). The proposed approach is demonstrated using image data of FAIM 3 (Fast Airglow IMager), acquired a

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Podkowinski, Dominika, Ehsan Sharian Varnousfaderani, Christian Simader, et al. "Impact of B-Scan Averaging on Spectralis Optical Coherence Tomography Image Quality before and after Cataract Surgery." Journal of Ophthalmology 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/8148047.

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Background and Objective. To determine optimal image averaging settings for Spectralis optical coherence tomography (OCT) in patients with and without cataract. Study Design/Material and Methods. In a prospective study, the eyes were imaged before and after cataract surgery using seven different image averaging settings. Image quality was quantitatively evaluated using signal-to-noise ratio, distinction between retinal layer image intensity distributions, and retinal layer segmentation performance. Measures were compared pre- and postoperatively across different degrees of averaging. Results.

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Gorbovskaya, Svetlana G. "The imago image of ‘flowers of evil’: from Charles Baudelaire to Joris-Karl Huysmans." Slovo.ru: Baltic accent 15, no. 3 (2024): 39–54. http://dx.doi.org/10.5922/2225-5346-2024-3-3.

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This article examines the image of 'flowers of evil' as an imago image — an imaginary image of a real object. The term 'imago' was first used in this sense by Carl Jung in 1912. The work proposes a novel approach to investigating the image of 'flowers of evil'. The comparative historical, analytical and psychoanalytic methods of text examination revealed that, in his novel À rebours, Huysmans espouses Baudelaire's celebrated image, representing it primarily as a notion of something bizarre, extraordinary, transmuted and dangerous. This is achieved through the reception of the image of 'flow

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Otiede, David, and Ke Jian Wu. "The Effect of Image Resolution on the Geometry and Topological Characteristics of 3-D Reconstructed Images of Reservoir Rock Samples." International Journal of Engineering Research in Africa 6 (November 2011): 37–44. http://dx.doi.org/10.4028/www.scientific.net/jera.6.37.

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The effect of image resolution on the measured geometry and topological characteristics of network models extracted from 3-D micro-computer tomography images has been investigated. The study was conducted by extracting geologically realistic networks from images of two rock samples, imaged at different resolutions. The rock samples involved were a Castlegate Sandstone and a Carbonate-28 reservoir rock. Two-dimensional images of these rocks were obtained at a magnification of ×50. The carbonate sample was studied at two different resolutions of 0.133 microns and 1.33 microns, while the sandston

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O'Mara, Aidan R., Jessica M. Collins, Anna E. King, James C. Vickers та Matthew T. K. Kirkcaldie. "Accurate and Unbiased Quantitation of Amyloid-β Fluorescence Images Using ImageSURF". Current Alzheimer Research 16, № 2 (2019): 102–8. http://dx.doi.org/10.2174/1567205016666181212152622.

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Background: Images of amyloid-β pathology characteristic of Alzheimer’s disease are difficult to consistently and accurately segment, due to diffuse deposit boundaries and imaging variations. Methods: We evaluated the performance of ImageSURF, our open-source ImageJ plugin, which considers a range of image derivatives to train image classifiers. We compared ImageSURF to standard image thresholding to assess its reproducibility, accuracy and generalizability when used on fluorescence images of amyloid pathology. Results: ImageSURF segments amyloid-β images significantly more faithfully, and wit

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Destyningtias, Budiani, Andi Kurniawan Nugroho, and Sri Heranurweni. "Analisa Citra Medis Pada Pasien Stroke dengan Metoda Peregangan Kontras Berbasis ImageJ." eLEKTRIKA 10, no. 1 (2019): 15. http://dx.doi.org/10.26623/elektrika.v10i1.1105.

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<p>This study aims to develop medical image processing technology, especially medical images of CT scans of stroke patients. Doctors in determining the severity of stroke patients usually use medical images of CT scans and have difficulty interpreting the extent of bleeding. Solutions are used with contrast stretching which will distinguish cell tissue, skull bone and type of bleeding. This study uses contrast stretching from the results of CT Scan images produced by first turning the DICOM Image into a JPEG image using the help of the ImageJ program. The results showed that the histogra

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Mueller, M. S., T. Sattler, M. Pollefeys, and B. Jutzi. "IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W7 (September 16, 2019): 111–19. http://dx.doi.org/10.5194/isprs-annals-iv-2-w7-111-2019.

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<p><strong>Abstract.</strong> The performance of machine learning and deep learning algorithms for image analysis depends significantly on the quantity and quality of the training data. The generation of annotated training data is often costly, time-consuming and laborious. Data augmentation is a powerful option to overcome these drawbacks. Therefore, we augment training data by rendering images with arbitrary poses from 3D models to increase the quantity of training images. These training images usually show artifacts and are of limited use for advanced image analysis. There

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Ohnishi, Takashi, Yuka Nakamura, Toru Tanaka, et al. "Deformable image registration between pathological images and MR image via an optical macro image." Pathology - Research and Practice 212, no. 10 (2016): 927–36. http://dx.doi.org/10.1016/j.prp.2016.07.018.

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Calbó, Josep, and Jeff Sabburg. "Feature Extraction from Whole-Sky Ground-Based Images for Cloud-Type Recognition." Journal of Atmospheric and Oceanic Technology 25, no. 1 (2008): 3–14. http://dx.doi.org/10.1175/2007jtecha959.1.

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Abstract Several features that can be extracted from digital images of the sky and that can be useful for cloud-type classification of such images are presented. Some features are statistical measurements of image texture, some are based on the Fourier transform of the image and, finally, others are computed from the image where cloudy pixels are distinguished from clear-sky pixels. The use of the most suitable features in an automatic classification algorithm is also shown and discussed. Both the features and the classifier are developed over images taken by two different camera devices, name

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Badgainya, Shruti, Prof Pankaj Sahu, and Prof Vipul Awasthi. "Image Denoising by OWT for Gaussian Noise Corrupted Images." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 2477–84. http://dx.doi.org/10.31142/ijtsrd18337.

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Mohamed Y Abdallah, Yousif, Mohamed MO Yousef, and Eltayeb W Eltayeb. "Automated Enhancement of Myocardium Images using Image Processing Methods." International Journal of Science and Research (IJSR) 10, no. 7 (2021): 557–64. https://doi.org/10.21275/sr21709185141.

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Sravani, L., N. Rama Venkat Sai, K. Noomika, M. Upendra Kumar, and K. V. Adarsh. "Image Enhancement of Underwater Images using Deep Learning Techniques." International Journal of Research Publication and Reviews 4, no. 4 (2023): 81–86. http://dx.doi.org/10.55248/gengpi.2023.4.4.34620.

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Avinash, Gopal B. "Image compression and data integrity in confocal microscopy." Proceedings, annual meeting, Electron Microscopy Society of America 51 (August 1, 1993): 206–7. http://dx.doi.org/10.1017/s0424820100146874.

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In confocal microscopy, one method of managing large data is to store the data in a compressed form using image compression algorithms. These algorithms can be either lossless or lossy. Lossless algorithms compress images without losing any information with modest compression ratios (memory for the original / memory for the compressed) which are usually between 1 and 2 for typical confocal 2-D images. However, lossy algorithms can provide higher compression ratios (3 to 8) at the expense of information content in the images. The main purpose of this study is to empirically demonstrate the use

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Valevski, Dani, Matan Kalman, Eyal Molad, Eyal Segalis, Yossi Matias, and Yaniv Leviathan. "UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image." ACM Transactions on Graphics 42, no. 4 (2023): 1–10. http://dx.doi.org/10.1145/3592451.

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Text-driven image generation methods have shown impressive results recently, allowing casual users to generate high quality images by providing textual descriptions. However, similar capabilities for editing existing images are still out of reach. Text-driven image editing methods usually need edit masks, struggle with edits that require significant visual changes and cannot easily keep specific details of the edited portion. In this paper we make the observation that image-generation models can be converted to image-editing models simply by fine-tuning them on a single image. We also show tha

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Hata, Yutaka. "Image Understanding on Medical Images : Toward Medical Image Understanding Systems." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 17, no. 1 (2005): 11–18. http://dx.doi.org/10.3156/jsoft.17.11.

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ChandraSekhar, P., K. Srinivasa Rao, and P. Srinivasa Rao. "Image Segmentation Algorithm for Images having Asymmetrically Distributed Image Regions." International Journal of Computer Applications 96, no. 21 (2014): 64–73. http://dx.doi.org/10.5120/16922-7076.

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Lili, N. A., M. B. NorMasaina, K. Fatimah, and Y. Razali. "Image Noise Removal on Grayscale Images for Better Image Restoration." Advanced Science Letters 19, no. 8 (2013): 2398–403. http://dx.doi.org/10.1166/asl.2013.4941.

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Lai, Chang, Wei Li, Jiyao Xu, et al. "Extraction of Quasi-Monochromatic Gravity Waves from an Airglow Imager Network." Atmosphere 11, no. 6 (2020): 615. http://dx.doi.org/10.3390/atmos11060615.

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An algorithm has been developed to isolate the gravity waves (GWs) of different scales from airglow images. Based on the discrete wavelet transform, the images are decomposed and then reconstructed in a series of mutually orthogonal spaces, each of which takes a Daubechies (db) wavelet of a certain scale as a basis vector. The GWs in the original airglow image are stripped to the peeled image reconstructed in each space, and the scale of wave patterns in a peeled image corresponds to the scale of the db wavelet as a basis vector. In each reconstructed image, the extracted GW is quasi-monochrom

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Vachkov, I. V., and M. A. Sukhoruchenkov. "Special Aspects of Sensual Images During Imago Therapy Process." Клиническая и специальная психология 6, no. 4 (2017): 125–47. http://dx.doi.org/10.17759/cpse.2017060409.

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The article presents the results of the study performed on 27 adults who have completed five imago therapeutic sessions. The subjects were split in two groups: problem-solving group and problem-analysis group. The peculiarities of sensory images that arise during the sessions by Glezer grounded theory method were studied. It turned out that the subject sensual tissue of the psychosemiological tetrahedron (the term of F. Vasiljuk) of the imago therapeutic image is represented mainly by sensory imaginary events and less frequently by sensual objects and recalled events. The pole and sensory tiss

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Zuvirie Hernández, Rosa Margarita, and María Dolores Rodríguez Ortiz. "Psychophysiological reaction to exposure of thin women images in college students / Reacción psicofisiológica a la exposición de imágenes de mujeres delgadas en universitarias." Revista Mexicana de Trastornos Alimentarios/Mexican Journal of Eating Disorders 2, no. 1 (2011): 33–41. http://dx.doi.org/10.22201/fesi.20071523e.2011.1.167.

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Abstract. Social standards of beauty profitness model is leading some young women to worry, especially those that are more susceptible to these models. The thin ideal internalization is a risk factor in development of body image concern. Therefore it was important to conduct a study that contemplate thoughts through body image and psychophysiological reaction to images of thin women. Psychophysiological assessment was conducted with 40 women between 19 and 25 age college students. The sample was divided in two groups: the group with negative thoughts toward body image and group with positive t

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Tosi, Sébastien, Lídia Bardia, Maria Jose Filgueira, Alexandre Calon, and Julien Colombelli. "LOBSTER: an environment to design bioimage analysis workflows for large and complex fluorescence microscopy data." Bioinformatics 36, no. 8 (2019): 2634–35. http://dx.doi.org/10.1093/bioinformatics/btz945.

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Abstract Summary Open source software such as ImageJ and CellProfiler greatly simplified the quantitative analysis of microscopy images but their applicability is limited by the size, dimensionality and complexity of the images under study. In contrast, software optimized for the needs of specific research projects can overcome these limitations, but they may be harder to find, set up and customize to different needs. Overall, the analysis of large, complex, microscopy images is hence still a critical bottleneck for many Life Scientists. We introduce LOBSTER (Little Objects Segmentation and Tr

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Shin, Chang Jong, Tae Bok Lee, and Yong Seok Heo. "Dual Image Deblurring Using Deep Image Prior." Electronics 10, no. 17 (2021): 2045. http://dx.doi.org/10.3390/electronics10172045.

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Blind image deblurring, one of the main problems in image restoration, is a challenging, ill-posed problem. Hence, it is important to design a prior to solve it. Recently, deep image prior (DIP) has shown that convolutional neural networks (CNNs) can be a powerful prior for a single natural image. Previous DIP-based deblurring methods exploited CNNs as a prior when solving the blind deburring problem and performed remarkably well. However, these methods do not completely utilize the given multiple blurry images, and have limitations of performance for severely blurred images. This is because t

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Hack, Lilian, and Édio Raniere Da Silva. "Escrever sob o fascínio da imagem – ressonâncias entre o pensamento de Maurice Blanchot e Georges Didi-Huberman." Visualidades 15, no. 2 (2017): 69. http://dx.doi.org/10.5216/vis.v15i2.48066.

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Resumo O artigo problematiza o conceito de imagem a partir do pensamento de Maurice Blanchot e Georges Didi-Huberman. Explorando especialmente os conceitos de duplicidade da imagem em Blanchot e dupla distância do olhar em DidiHuberman, pretende-se verificar os pontos em que se faz convergir nesses autores um modo de operar o pensamento e a escrita sobre a arte em sua relação com a imagem. Nesse jogo, sujeito e objeto são lançados a uma instabilidade, movimento em que o sujeito se desfaz de si mesmo pela imagem, se desfaz de si no encontro com uma obra. Momento em que a imagem solicita a palav

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Shen, Kuan, Yumei Wen, and Yufang Cai. "Efficient x-ray image enhancement algorithm using image fusion." Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 17, no. 3 (2009): 207–20. http://dx.doi.org/10.3233/xst-2009-022300223.

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Multiresolution Analysis (MRA) plays an important role in image and signal processing fields, and it can extract information at different scales. Image fusion is a process of combining two or more images into an image, which extracts features from source images and provides more information than one image. The research presented in this article is aimed at the development of an automated imaging enhancement system in digital radiography (DR) images, which can clearly display all the defects in one image and don't bring blocking effect. In terms of characteristic of the collected radiographic s

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Pham, Nam, Jong-Weon Lee, Goo-Rak Kwon, and Chun-Su Park. "Hybrid Image-Retrieval Method for Image-Splicing Validation." Symmetry 11, no. 1 (2019): 83. http://dx.doi.org/10.3390/sym11010083.

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Recently, the task of validating the authenticity of images and the localization of tampered regions has been actively studied. In this paper, we go one step further by providing solid evidence for image manipulation. If a certain image is proved to be the spliced image, we try to retrieve the original authentic images that were used to generate the spliced image. Especially for the image retrieval of spliced images, we propose a hybrid image-retrieval method exploiting Zernike moment and Scale Invariant Feature Transform (SIFT) features. Due to the symmetry and antisymmetry properties of the

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