Relevant bibliographies by topics / Transformation of image

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Transformation of image'

Author: Grafiati
Published: 28 June 2021
Last updated: 21 June 2025

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Journal articles on the topic "Transformation of image"

1

Kim, J., T. Kim, D. Shin, and S. H. Kim. "ROBUST MOSAICKING OF UAV IMAGES WITH NARROW OVERLAPS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 879–83. http://dx.doi.org/10.5194/isprs-archives-xli-b1-879-2016.

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This paper considers fast and robust mosaicking of UAV images under a circumstance that each UAV images have very narrow overlaps in-between. Image transformation for image mosaicking consists of two estimations: relative transformations and global transformations. For estimating relative transformations between adjacent images, projective transformation is widely considered. For estimating global transformations, panoramic constraint is widely used. While perspective transformation is a general transformation model in 2D-2D transformation, this may not be optimal with weak stereo geometry such as images with narrow overlaps. While panoramic constraint works for reliable conversion of global transformation for panoramic image generation, this constraint is not applicable to UAV images in linear motions. For these reasons, a robust approach is investigated to generate a high quality mosaicked image from narrowly overlapped UAV images. For relative transformations, several transformation models were considered to ensure robust estimation of relative transformation relationship. Among them were perspective transformation, affine transformation, coplanar relative orientation, and relative orientation with reduced adjustment parameters. Performance evaluation for each transformation model was carried out. The experiment results showed that affine transformation and adjusted coplanar relative orientation were superior to others in terms of stability and accuracy. For global transformation, we set initial approximation by converting each relative transformation to a common transformation with respect to a reference image. In future work, we will investigate constrained relative orientation for enhancing geometric accuracy of image mosaicking and bundle adjustments of each relative transformation model for optimal global transformation.
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Kim, J., T. Kim, D. Shin, and S. H. Kim. "ROBUST MOSAICKING OF UAV IMAGES WITH NARROW OVERLAPS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 879–83. http://dx.doi.org/10.5194/isprsarchives-xli-b1-879-2016.

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This paper considers fast and robust mosaicking of UAV images under a circumstance that each UAV images have very narrow overlaps in-between. Image transformation for image mosaicking consists of two estimations: relative transformations and global transformations. For estimating relative transformations between adjacent images, projective transformation is widely considered. For estimating global transformations, panoramic constraint is widely used. While perspective transformation is a general transformation model in 2D-2D transformation, this may not be optimal with weak stereo geometry such as images with narrow overlaps. While panoramic constraint works for reliable conversion of global transformation for panoramic image generation, this constraint is not applicable to UAV images in linear motions. For these reasons, a robust approach is investigated to generate a high quality mosaicked image from narrowly overlapped UAV images. For relative transformations, several transformation models were considered to ensure robust estimation of relative transformation relationship. Among them were perspective transformation, affine transformation, coplanar relative orientation, and relative orientation with reduced adjustment parameters. Performance evaluation for each transformation model was carried out. The experiment results showed that affine transformation and adjusted coplanar relative orientation were superior to others in terms of stability and accuracy. For global transformation, we set initial approximation by converting each relative transformation to a common transformation with respect to a reference image. In future work, we will investigate constrained relative orientation for enhancing geometric accuracy of image mosaicking and bundle adjustments of each relative transformation model for optimal global transformation.
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Sempio, J. N. H., R. K. D. Aranas, B. P. Lim, B. J. Magallon, M. E. A. Tupas, and I. A. Ventura. "ASSESSMENT OF DIFFERENT IMAGE TRANSFORMATION METHODS ON DIWATA-1 SMI IMAGES USING STRUCTURAL SIMILARITY MEASURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W19 (December 23, 2019): 393–400. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w19-393-2019.

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Abstract. This paper aims to provide a qualitative assessment of different image transformation parameters as applied on images taken by the spaceborne multispectral imager (SMI) sensor installed in Diwata-1, the Philippines’ first Earth observation microsatellite, with the aim of determining the order of transformation that is sufficient for operationalization purposes. Images of the Palawan area were subjected to different image transformations by manual georeferencing using QGIS 3, and cloud masks generated and applied to remove the effects of clouds. The resulting images were then subjected to structural similarity (SSIM) tests using resampled and cloud masked Landsat 8 images of the same area to generate SSIM indices, which are then used as a quantitative means to assess the best performing transformation. The results of this study point to all transformed images having good SSIM ratings with their Landsat 8 counterparts, indicating that features shown in a Diwata-1 SMI image are structurally similar to the same features in a resampled Landsat 8 data. This implies that for Diwata-1 data processing operationalization purposes, higher order transformations, with the necessary effort to implement them, offer little advantage to lower order counterparts.
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Jabir, Adnan. "Image Geometrical Analogies." Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), no. 2 (October 26, 2021): 113–30. http://dx.doi.org/10.55562/jrucs.v23i2.484.

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Geometric transform (G.T.) of images is a critical operation in commercial television, film producing and advertisement design. All geometric transformation operations are performed by moving pixel values from their original spatial coordinates to new coordinates in the destination image. The traditional algorithms for geometric transformation are time consuming and not accurate. With a very few exceptions, all geometric transformations result in some output pixel locations being missed because no input pixels were transformed there. This paper presents an easy-to- implement and very efficient algorithm for image geometric transform. The idea behind the proposed algorithm comes from the current work on transferring properties between images, where various types of properties (i.e. transformation filters) are to be learned from one source image – and applied to another target image. The results demonstrate the efficiency effectiveness of the proposed algorithm.
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Garg, Ankit, Ashish Negi, and Geeta Chauhan. "Analysis of Iterated Affine Transformation Function and Linear Mapping for Content Preservation." International Journal of Engineering & Technology 7, no. 4.19 (2018): 50–57. http://dx.doi.org/10.14419/ijet.v7i4.19.22014.

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In image scaling contents of image can be distorted which are required to preserve using linear mapping. Geometric transformations can preserve structural properties i.e. parallelism, colinearity and orientation. It is highly desirable to preserve structural properties of image contents because human visual system is very sensitive to distortion of objects. In this paper image scaling is performed using iterative affine transformation and results show that linear mapping function applied on affine space preserve affine properties under affine transformation. A number of scaling operations are applied on image using iterative affine transformation and for each iteration linear mapping is performed to preserved object structure. Analysis present in this paper shows that in image scaling preservation of image content is possible under iterative affine transformation and linear mapping. Image artifacts can be minimize using saliency based antialiasing algorithm after affine transformation. Â
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Kim, Jae-In, Hyun-cheol Kim, and Taejung Kim. "Robust Mosaicking of Lightweight UAV Images Using Hybrid Image Transformation Modeling." Remote Sensing 12, no. 6 (2020): 1002. http://dx.doi.org/10.3390/rs12061002.

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This paper proposes a robust feature-based mosaicking method that can handle images obtained by lightweight unmanned aerial vehicles (UAVs). The imaging geometry of small UAVs can be characterized by unstable flight attitudes and low flight altitudes. These can reduce mosaicking performance by causing insufficient overlaps, tilted images, and biased tiepoint distributions. To solve these problems in the mosaicking process, we introduce the tiepoint area ratio (TAR) as a geometric stability indicator and orthogonality as an image deformation indicator. The proposed method estimates pairwise transformations with optimal transformation models derived by geometric stability analysis between adjacent images. It then estimates global transformations from optimal pairwise transformations that maximize geometric stability between adjacent images and minimize mosaic deformation. The valid criterion for the TAR in selecting an optimal transformation model was found to be about 0.3 from experiments with two independent image datasets. The results of a performance evaluation showed that the problems caused by the imaging geometry characteristics of small UAVs could actually occur in image datasets and showed that the proposed method could reliably produce image mosaics for image datasets obtained in both general and extreme imaging environments.
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Liu, Hongbing, Gengyi Liu, Xuewen Ma, and Daohua Liu. "Training dictionary by granular computing with L∞-norm for patch granule–based image denoising." Journal of Algorithms & Computational Technology 12, no. 2 (2018): 136–46. http://dx.doi.org/10.1177/1748301818761131.

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Considering the objects by different granularity reflects the recognition common law of people, granular computing embodies the transformation between different granularity spaces. We present the image denoising algorithm by using the dictionary trained by granular computing with L∞-norm, which realizes three transformations, (1) the transformation from image space to patch granule space, (2) the transformation between granule spaces with different granularities, and (3) the transformation from patch granule space to image space. We demonstrate that the granular computing with L∞-norm achieved the comparable peak signal to noise ratio (PSNR) measure compared with BM3D and patch group prior based denoising for eight natural images.
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MAZURETS, O., T. SKRYPNYK, and A. IZOTOV. "FACET METHOD OF IMAGE TRANSFORMATION BY MEANS OF NEURAL NETWORK RECOGNITION." Herald of Khmelnytskyi National University. Technical sciences 281, no. 1 (2020): 147–53. https://doi.org/10.31891/2307-5732-2020-281-1-147-153.

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The method of facet image conversion is a software resizing of the input image and is intended for use in the process of image recognition. Based on the developed facet method for image transformation, an application was created for neural network image recognition after processing by the developed method. To investigate the efficiency of the facet image conversion method, the results of the image recognition were compared before and after the facet image convolution. The developed facet image convolution information technology uses the facet image conversion method and allows the image to be recognized before scaling and after scaling using the perceptron neural network. There are two main components of information technology: facet image convolution and neural network image recognition. In the first stage, the image is processed by the facet method. First, an image dimension analysis is performed and a square is determined depending on the size of the input image, and then the dimension for the facet convolution is adjusted, if necessary. Necessity is determined by the ability to divide the image into squares. The next step is to set how noisy the image is, or vice versa. The next step is to recursively determine the affiliation of the pixel image to the original image, after which the intermediate material proceeds to the next stage of image recognition by the neural network. Researches have shown that the facet image conversion method allows to convert images in such a way as to increase the efficiency of further recognition. Thus, in comparison with the success of recognition of raw images, for noisy images the efficiency increases on average from 36.17% to 94.53%, and for the outline and segmented images the recognition efficiency increases on average from 52.93% to 88.16%.
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Sarid, Orly, and Ephrat Huss. "Image formation and image transformation." Arts in Psychotherapy 38, no. 4 (2011): 252–55. http://dx.doi.org/10.1016/j.aip.2011.07.001.

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Liu, Jincheng. "Keywords-based conditional image transformation." Applied and Computational Engineering 57, no. 1 (2024): 56–65. http://dx.doi.org/10.54254/2755-2721/57/20241310.

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In recent years, Generative Adversarial Networks (GANs) and their variants, such as pix2pix, have occupied a significant position in the field of image generation. Despite the impressive performance of the pix2pix model in image-to-image transformation tasks, its reliance on a large amount of paired training data and computational resources has posed a crucial constraint to its broader application. To address these issues, this paper introduces a novel algorithm, Keywords-Based Conditional Image Transformation (KB-CIT). KB-CIT dynamically extracts keywords from the input grayscale images to acquire and generate training data, thus avoiding the need for a large amount of paired data and significantly improving the efficiency of image transformation. Experimental results demonstrate that KB-CIT performs remarkably well in image colorization tasks and can generate high-quality colored images even with limited training data. This algorithm not only simplifies the data collection process but also exhibits significant advantages in terms of computational resource requirements, data utilization efficiency, and personalized real-time training of the model, thereby providing new possibilities for the widespread application of the pix2pix model.
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Dissertations / Theses on the topic "Transformation of image"

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DeMeola, Christina. "Tattoo| Image and Transformation." Thesis, Pacifica Graduate Institute, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10784168.

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<p> This thesis uses heuristic and alchemical hermeneutic methodologies and a depth psychological perspective to examine the metaphor and experience of tattoo. The history of tattoos and ideas around healing are explored, as well as the author&rsquo;s own healing and transformation through multiple tattoo experiences. The author&rsquo;s analysis illustrates how a tattoo may be not only representative of a snapshot of the psyche in a moment in time, but might also move the psyche toward healing through the exploration of the archetypal energy in the image. In addition, the author explores how the modification of the body has the capacity to change the emotional and psychological relationship to one&rsquo;s body.</p><p>
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LEME, ROBERTO BETIM PAES. "CONSUMPITION AND TRANSFORMATION OF SURFING IMAGE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32609@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO<br>O estudo propõe uma possível relação entre o discurso editorial e o publicitário na formação de uma imagem sobre a prática do surfe presente em nosso cotidiano. Mais especificamente, o trabalho apresenta uma reflexão sobre a construção dessa prática a partir de quem vive e consome os produtos vinculados a ela. Sendo assim, um método de pesquisa com viés antropológico foi desenvolvido. Após observar o surfe na publicidade, analisamos as publicações especializadas no sentido de compreender o que e para quem dizem os editores de tais veículos. Acreditamos que ao observar costumes e hábitos sob o prisma do consumo, podemos encontrar pistas importantes para entender o indivíduo e o design para o qual tais publicações se dirigem. Entendemos, por fim, que a prática do surfe à qual se faz referência ao longo do texto, carrega consigo elementos importantes na caracterização desse indivíduo.<br>The study proposes a possible relationship between the publishing and the advertising discourses in the idealization an image of the practice of surfing present in everyday life. More specifically, the work presents a reflection on the construction of this practice from those who live and consume products tied to it. Therefore, a research method with anthropological aproach was developed. After observing the surfing in advertising, specialized publications were analyzed, in order to understand what and who the editors were aiming with each media. We observed that consumers life style and habits can give important clues to understand the design adapted in the studied graphic material. We believe that the practice of surfing, wich is referred throghout the text, carries important elements in characterization of this individual.
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Sivaramakrishna, Radhika. "Breast image registration using a textural transformation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq23666.pdf.

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Bourque, Eric. "Image-based procedural texture matching and transformation." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100327.

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In this thesis, we present an approach to finding a procedural representation of a texture to replicate a given texture image which we call image-based procedural texture matching. Procedural representations are frequently used for many aspects of computer generated imagery, however, the ability to use procedural textures is limited by the difficulty inherent in finding a suitable procedural representation to match a desired texture. More importantly, the process of determining an appropriate set of parameters necessary to approximate the sample texture is a difficult task for a graphic artist.<br>The textural characteristics of many real world objects change over time, so we are therefore interested in how textured objects in a graphical animation could also be made to change automatically. We would like this automatic texture transformation to be based on different texture samples in a time-dependant manner. This notion, which is a natural extension of procedural texture matching, involves the creation of a smoothly varying sequence of texture images, while allowing the graphic artist to control various characteristics of the texture sequence.<br>Given a library of procedural textures, our approach uses a perceptually motivated texture similarity measure to identify which procedural textures in the library may produce a suitable match. Our work assumes that at least one procedural texture in the library is capable of approximating the desired texture. Because exhaustive search of all of the parameter combinations for each procedural texture is not computationally feasible, we perform a two-stage search on the candidate procedural textures. First, a global search is performed over pre-computed samples from the given procedural texture to locate promising parameter settings. Secondly, these parameter settings are optimised using a local search method to refine the match to the desired texture.<br>The characteristics of a procedural texture generally do not vary uniformly for uniform parameter changes. That is, in some areas of the parameter domain of a procedural texture (the set of all valid parameter settings for the given procedural texture) small changes may produce large variations in the resulting texture, while in other areas the same changes may produce no variation at all. In this thesis, we present an adaptive random sampling algorithm which captures the texture range (the set of all images a procedural texture can produce) of a procedural texture by maintaining a sampling density which is consistent with the amount of change occurring in that region of the parameter domain.<br>Texture transformations may not always be contained to a single procedural texture, and we therefore describe an approach to finding transitional points from one procedural texture to another. We present an algorithm for finding a path through the texture space formed from combining the texture range of the relevant procedural textures and their transitional points.<br>Several examples of image-based texture matching, and texture transformations are shown. Finally, potential limitations of this work as well as future directions are discussed.
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Cook, Anthony John. "Digital image processing using colour space transformation." Thesis, University of Hertfordshire, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323433.

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The purpose of the work is to explore the feasibility of devising a computer system that implements the desirable effects of a photographic filter and provides an environment for colour filter design for image processing. Using conversion from RGB to the CIELUV colour space a new method for the implementation of photographic filter as a digital filter is described. A filter is implemented by converting image pixel rgb values into CIELUV (u', v') and L* values and operates using the visual wavelength values provided by the (u', v') chromaticity diagram. However, the (u', v') diagram cannot provide wavelength values for pixels that correspond to (u', v') points in the `purple line' sector of the diagram. These pixels are allocated wavelengths by means of a new wavelengths scale that makes it possible for the filter to process any pixel in a digital image. Filter transmittance data for visual spectrum wavelengths is obtained from published tables. The transmittance data for purple sector pixels is provided by a colour model of the (u', v') chromaticity diagram. The system is evaluated by means of the Macbeth ColorChecker chart and the use of physical measurements. The extension of the CIELUV diagram with an equivalent wavelength scale provides a new environment for the enhancement and manipulation of digital colour images.
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Hirasawa, Tetsu. "Organizational identity formation and transformation." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607893.

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Shi, Bibo. "Regularity-Guaranteed Transformation Estimation in Medical Image Registration." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1312842132.

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Sonogashira, Motoharu. "Variational Bayesian Image Restoration with Transformation Parameter Estimation." Kyoto University, 2018. http://hdl.handle.net/2433/232409.

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Aparnnaa. "Image Denoising and Noise Estimation by Wavelet Transformation." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1555929391906805.

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Sun, Lu. "Geometric transformation and image singularity with wavelet analysis." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/656.

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Books on the topic "Transformation of image"

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Mironovskiĭ, L. A. (Leonid Alekseevich), ed. Strip-method for image and signal transformation. De Gruyter, 2011.

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Mironovskiĭ, L. A. Strip-method for image and signal transformation. De Gruyter, 2011.

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United States. National Aeronautics and Space Administration., ed. Nonlinear coherent optical image processing using logarithmic transmittance of bacteriorhodopsin films. National Aeronautics and Space Administration, 1995.

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1937-, Roberts David, ed. Elias Canetti's counter-image of society: Crowds, power, transformation. Camden House, 2004.

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Bakken, Kenneth L. Healing and transformation: Into the image & likeness of God. Bethany Fellowship, 1998.

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Wolberg, George. Digital image warping. IEEE Computer Society Press, 1992.

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United States. National Aeronautics and Space Administration., ed. Optical logarithmic transformation of speckle images with bacteriorhodopsin films. National Aeronautics and Space Administration, 1995.

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United States. National Aeronautics and Space Administration., ed. Optical logarithmic transformation of speckle images with bacteriorhodopsin films. National Aeronautics and Space Administration, 1995.

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1939-, Li Zi-Cai, ed. Computer transformation of digital images and patterns. World Scientific, 1990.

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Sridhar, Srinivasan, and United States. National Aeronautics and Space Administration., eds. mist: Multispectral Image Similarity Transformation : contract number: NAS5-32357, final report. LNK, 1997.

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Book chapters on the topic "Transformation of image"

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Kamusoko, Courage. "Image Transformation." In Springer Geography. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8012-9_3.

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Goshtasby, A. Ardeshir. "Transformation Functions." In Image Registration. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2458-0_9.

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Klink, Charlotte. "Transformation of a Missed Encounter: Circulation, Lack, Drive." In Image. transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839457009-018.

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Chityala, Ravishankar, and Sridevi Pudipeddi. "Affine Transformation." In Image Processing and Acquisition using Python. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429243370-6.

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Dyson, Karen, Andréa Puzzi Nicolau, David Saah, and Nicholas Clinton. "Neighborhood-Based Image Transformation." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_10.

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Wagner, Björn, Andreas Dinges, Paul Müller, and Gundolf Haase. "Parallel Volume Image Segmentation with Watershed Transformation." In Image Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02230-2_43.

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Patel, Shivangi, R. Rajasekar, Mohd Sadim, and Nikhila Kathirisetty. "Performance improvement of image mosaicking using image inpainting." In Digital Transformation and Sustainability of Business. CRC Press, 2025. https://doi.org/10.1201/9781003606185-127.

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Derungs, Isabelle My Hanh. "The Image of Leadership." In Trans-Cultural Leadership for Transformation. Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230304185_7.

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Tian, Zhen, and Xiaofeng Yang. "2D–3D Transformation for 3D Volumetric Imaging." In Medical Image Synthesis. CRC Press, 2023. http://dx.doi.org/10.1201/9781003243458-13.

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Chaki, Jyotismita, and Nilanjan Dey. "Geometric Transformation Techniques." In A Beginner's Guide to Image Preprocessing Techniques. CRC Press, 2018. http://dx.doi.org/10.1201/9780429441134-3.

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Conference papers on the topic "Transformation of image"

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Su, Cheng, Jiande Sun, Jinhui Wang, Wenbo Wan, Kai Zhang, and Jian Wang. "Efficient Image Harmonization via RGB Transformation." In 2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2024. http://dx.doi.org/10.1109/mmsp61759.2024.10743257.

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R, Geetha. "Reversible Data Hiding Using GAN Based Image-Image Transformation." In 2024 5th International Conference on Circuits, Control, Communication and Computing (I4C). IEEE, 2024. http://dx.doi.org/10.1109/i4c62240.2024.10748436.

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Takano, Shuichi, Kiyoshi Tanaka, and Tatsuo Sugimura. "Steganograpic image transformation." In Electronic Imaging '99, edited by Ping W. Wong and Edward J. Delp III. SPIE, 1999. http://dx.doi.org/10.1117/12.344686.

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ZHGUTOVA, E. S., and P. V. BABAYAN. "ALGORITHMS AND SOFTWARE FOR EVALUATING THE ACCURACY OF IMAGE ALIGNMENT." In GRAPHICON 2024. Omsk State Technicl University, 2024. http://dx.doi.org/10.25206/978-5-8149-3873-2-2024-484-490.

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In this paper, the problem of estimating image alignment errors is considered. The purpose of the work is to develop algorithms and software to determine the dependence of the accuracy of estimating the parameters of various geometric transformations and evaluating the accuracy of image alignment on the location of reference points in the image. The object of the study is images of moving and stationary objects (cars, buildings) formed by cameras of the visible and infrared ranges, subject to geometric transformations. The paper presents a general algorithm for finding the correlation matrix for each type of transformation, the software is written in Matlab. The scientific novelty of the work lies in the fact that for the first time the dependence of the accuracy of estimating the parameters of geometric transformations on the location of reference points in the image was investigated. Experimental studies of the developed algorithms have been carried out in order to assess the errors of image alignment and the results of their work are presented in relation to typical images using the example of the Euclidean transformation. The importance of taking these errors into account when developing image processing algorithms is shown. The results obtained can be used in image stabilization algorithms, scene change detection, extraction and detection of moving objects.
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Tan, Wei Sheng, Wan Yoke Chin, and Khai Yin Lim. "Content-Based Image Retrieval for Painting Style with Convolutional Neural Network." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1007.

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With the advancement of digital paintings in online collection platform, new image processing algorithms are required to manage digital paintings saved on database. Image retrieval has been one of the most difficult disciplines in digital image processing because it requires scanning a large database for images that are comparable to the query image. It is commonly known that retrieval performance is largely influenced by feature representations and similarity measures. Deep Learning has recently advanced significantly, and deep features based on deep learning have been widely used because it has been demonstrated that the features have great generalisation. In this paper, a convolutional neural network (CNN) is utilised to extract deep and high-level features from the paintings. Next, the features were used for similarity measure between the query image and database images; subsequently, similar images are ranked by the distance between both pair features. Our experiments show that this strategy significantly improves the performance of content-based image retrieval for the style retrieval task of painting. Keywords: Content-based Image Retrieval, Deep Learning, Convolutional Neural Network
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Eldon, John A. "Image Transformation And Resampling." In Medical Imaging II, edited by Roger H. Schneider and Samuel J. Dwyer III. SPIE, 1988. http://dx.doi.org/10.1117/12.968688.

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Huang, J., J. Kopf, N. Ahuja, and S. B. Kang. "Transformation guided image completion." In 2013 IEEE International Conference on Computational Photography (ICCP). IEEE, 2013. http://dx.doi.org/10.1109/iccphot.2013.6528313.

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Wong, Yew Lee, Jia Cheng Loh, Chen Zhen Li, and Chi Wee Tan. "A Comparative Study on Medical Image Watermarking using Hybrid Approach and RivaGAN." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1024.

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With the increased use of electronic medical records and computer networks, Medical Image Watermarking (MIW) now plays a very important role to preserve integrity and completeness of medical images. As of now, there are no perfect algorithms or solutions for invisible watermarking as there are trade-offs between visibility and robustness. In this study, we explored multiple implementations of image watermarking techniques using Hybrid Approach and Deep-Learning-Approach. The experiments to measure the limitations and robustness were done on a dataset of breast ultrasound images. 18 attacking methods were performed on the encoded images and performance were evaluated using PSNR and NCC. Encoded images were then being transmitted digitally using multiple transmission method to test its robustness against transmission platform. In conclusion, the Deep-Learning Approach of RivaGAN has shown best robustness despite many extreme attacks while the Hybrid Approach of DWT-DCT-SVD shown the best performance in terms of imperceptibility. We reject RivaGAN as the best solution for Medical Image Watermarking despite its robustness as it was created specifically for video invisible watermarking. Keywords: Invisible Watermarking, DCT, DWT, SVD, RivaGAN
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Singh, Virendra, and Manini Singh. "Analysis and transformation of image using spectral transformation technique." In 2010 International Conference on Signal and Image Processing (ICSIP). IEEE, 2010. http://dx.doi.org/10.1109/icsip.2010.5697451.

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Lutz, Adam, Kendrick Grace, Neal Messer, et al. "Bandelet transformation based image registration." In 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2015. http://dx.doi.org/10.1109/aipr.2015.7444530.

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Reports on the topic "Transformation of image"

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LaGrange, T. First single-shot image of the alpha->beta Phase Transformation in Pure Nanocyrstalline Ti with Nanosecond Resolution. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/1129147.

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Hoch, Brendon, and Samantha Cook. A 10-Year monthly climatology of wind direction : case-study assessment. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46912.

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A 10-year monthly climatology of wind direction in compass degrees is developed utilizing datasets from the National Oceanic Atmospheric Administration, Climate Forecast System. Data retrieval methodologies, numerical techniques, and scientific analysis packages to develop the climatology are explored. The report describes the transformation of input data in Gridded Binary format to the Geographic Tagged Image File Format to support geospatial analyses. The specific data sources, software tools, and data-verification techniques are outlined.
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Pikilnyak, Andrey V., Nadia M. Stetsenko, Volodymyr P. Stetsenko, Tetiana V. Bondarenko, and Halyna V. Tkachuk. Comparative analysis of online dictionaries in the context of the digital transformation of education. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4431.

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The article is devoted to a comparative analysis of popular online dictionaries and an overview of the main tools of these resources to study a language. The use of dictionaries in learning a foreign language is an important step to understanding the language. The effectiveness of this process increases with the use of online dictionaries, which have a lot of tools for improving the educational process. Based on the Alexa Internet resource it was found the most popular online dictionaries: Cambridge Dictionary, Wordreference, Merriam–Webster, Wiktionary, TheFreeDictionary, Dictionary.com, Glosbe, Collins Dictionary, Longman Dictionary, Oxford Dictionary. As a result of the deep analysis of these online dictionaries, we found out they have the next standard functions like the word explanations, transcription, audio pronounce, semantic connections, and examples of use. In propose dictionaries, we also found out the additional tools of learning foreign languages (mostly English) that can be effective. In general, we described sixteen functions of the online platforms for learning that can be useful in learning a foreign language. We have compiled a comparison table based on the next functions: machine translation, multilingualism, a video of pronunciation, an image of a word, discussion, collaborative edit, the rank of words, hints, learning tools, thesaurus, paid services, sharing content, hyperlinks in a definition, registration, lists of words, mobile version, etc. Based on the additional tools of online dictionaries we created a diagram that shows the functionality of analyzed platforms.
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Kelekci, Osman. Transformations with Palindromic Images. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2020. http://dx.doi.org/10.7546/crabs.2020.06.01.

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Goreczky, Péter, and Tibor Mezei. Go South: Opportunities for South Korea to Increase its Economic and Political Weight in the ASEAN Region. Külügyi és Külgazdasági Intézet, 2022. http://dx.doi.org/10.47683/kkielemzesek.ke-2022.01.

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The New Southern Policy (NSP) initiated by President Moon Jae-in in 2017 has given significant impetus to the development of political, economic, and cultural relations between the Republic of Korea and the ASEAN countries. The objective of South Korea is to enhance its middle power status and bolster its image as an important regional player. While the results of political and security cooperation have been modest so far, advancing economic and trade cooperation with the ASEAN region offers important opportunities for South Korea to expand and diversify its economic relationships. The growing consumer market of ASEAN and free trade agreements could primarily boost trade flows, while direct investments of South Korean companies could be catalysed by relocation strategies, supply chain transformation, and new, emerging industries and technologies. Official development aid is also expected to play an increasingly important role in the economic relations between South Korea and the ASEAN region. The main challenges include building relations with the less developed and stable economies of the region and the low visibility of the NSP at the level of regional narratives.
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Baluk, Nadia, Natalia Basij, Larysa Buk, and Olha Vovchanska. VR/AR-TECHNOLOGIES – NEW CONTENT OF THE NEW MEDIA. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11074.

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The article analyzes the peculiarities of the media content shaping and transformation in the convergent dimension of cross-media, taking into account the possibilities of augmented reality. With the help of the principles of objectivity, complexity and reliability in scientific research, a number of general scientific and special methods are used: method of analysis, synthesis, generalization, method of monitoring, observation, problem-thematic, typological and discursive methods. According to the form of information presentation, such types of media content as visual, audio, verbal and combined are defined and characterized. The most important in journalism is verbal content, it is the one that carries the main information load. The dynamic development of converged media leads to the dominance of image and video content; the likelihood of increasing the secondary content of the text increases. Given the market situation, the effective information product is a combined content that combines text with images, spreadsheets with video, animation with infographics, etc. Increasing number of new media are using applications and website platforms to interact with recipients. To proceed, the peculiarities of the new content of new media with the involvement of augmented reality are determined. Examples of successful interactive communication between recipients, the leading news agencies and commercial structures are provided. The conditions for effective use of VR / AR-technologies in the media content of new media, the involvement of viewers in changing stories with augmented reality are determined. The so-called immersive effect with the use of VR / AR-technologies involves complete immersion, immersion of the interested audience in the essence of the event being relayed. This interaction can be achieved through different types of VR video interactivity. One of the most important results of using VR content is the spatio-temporal and emotional immersion of viewers in the plot. The recipient turns from an external observer into an internal one; but his constant participation requires that the user preferences are taken into account. Factors such as satisfaction, positive reinforcement, empathy, and value influence the choice of VR / AR content by viewers.
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Tang, H., Ed X. Wu, D. Gallagher, and S. B. Heymsfield. Monochrome Image Presentation and Segmentation Based on the Pseudo-Color and PCT Transformations. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada412412.

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Wang, Shiliang. Application of Hough transformation to detect ovulatory patterns in cervical mucus images. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5873.

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Удріс, Ірина Миколаївна, and Наталя Сергіївна Удріс-Бородавко. Design of the Franco-Belgian Exhibition Poster of the 1890-s in the Context of the Art Nouveau Style Formation. КНУКіМ, 2019. http://dx.doi.org/10.31812/123456789/5087.

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The purpose of the article is to determine the artistic and graphic peculiarities of the Franco-Belgian exhibition poster of the 1890s in the context of the formation of the Art Nouveau style. The research methodology of the work is based on the use of traditional art methods: historical and cultural, reconstructive and model, historical and attributive, which contributed to the revealing of artistic and graphic transformations in the field of Franco-Belgian spectacular poster. The scientific novelty of the article lies in the author’s artistic interpretation of the stylistic manner of the creators of the spectacular poster in “style floreale” as one of the leading directions of the development of the artistic style of that period. The distinctive features of this type of the artistic work are outlined on the basis of the review of the stylistic and image transformations of exhibition posters of the famous artists – J. Chéret, A. Toulouse-Lautrec, E. Grasset, A. Mucha, A. Privat-Livemont and others. Attention is focused on the identification of the presentation features of the advertised exhibition events as an important cultural events of that time. Means of artistic visualization of information are studied taking into consideration the specific nature of the poster. Conclusions. In the general cultural and historical context of that time, the poster has become a significant component of the formation of national trends in the artistic style of the day, in particular - the Franco-Belgian Art Nouveau style. The exhibition poster, reflecting the stylistic landmarks of the time, contributed to the formation of the artistic vision as a manifestation of the cultural and artistic landmarks of the studied period.
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