Relevant bibliographies by topics / Image extrapolation

Academic literature on the topic 'Image extrapolation'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Image extrapolation"

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Zhang, Jie, and George A. McMechan. "Turning wave migration by horizontal extrapolation." GEOPHYSICS 62, no. 1 (January 1997): 291–97. http://dx.doi.org/10.1190/1.1444130.

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Conventional migration based on depth stepping extrapolation fails to migrate turning wave energy because of its inability to propagate energy with dips beyond 90°. A viable strategy for imaging turning waves is to use horizontal, rather than depth, extrapolation. This can be implemented by a 90° rotation of the extrapolator so that the data are extrapolated horizontally rather than vertically. In this geometry, the energy associated with turned rays consistently moves in the same direction as the extrapolation, and so only one pass is necessary to image turned reflections. The viability of this strategy is demonstrated with both synthetic and field poststack data that include turned reflections from salt flanks. Depth extrapolation images the near‐horizontal structure and horizontal extrapolation images the near‐vertical structure, and combining them gives a full image containing all dips.
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Spirik, Jan, and Jan Zatyik. "Image Extrapolation Using Sparse Methods." Communications - Scientific letters of the University of Zilina 15, no. 2A (July 31, 2013): 174–79. http://dx.doi.org/10.26552/com.c.2013.2a.174-179.

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Nguyen, Bao D., and George A. McMechan. "Five ways to avoid storing source wavefield snapshots in 2D elastic prestack reverse time migration." GEOPHYSICS 80, no. 1 (January 1, 2015): S1—S18. http://dx.doi.org/10.1190/geo2014-0014.1.

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Five alternative algorithms were evaluated to circumvent the excessive storage requirement imposed by saving source wavefield snapshots used for the crosscorrelation image condition in 2D prestack elastic reverse time migration. We compared the algorithms on the basis of their ability, either to accurately reconstruct (not save) the source wavefield or to use an alternate image condition so that neither saving nor reconstruction of full wavefields was involved. The comparisons were facilitated by using the same (velocity-stress) extrapolator in all the algorithms, and running them all on the same hardware. We assumed that there was enough memory in a node to do an extrapolation, and that all input data were stored on disk rather than residing in random-access memory. This should provide a fair and balanced comparison. Reconstruction of the source wavefield from boundary and/or initial values reduced the required storage to a very small fraction of that needed to store source wavefield snapshots for conventional crosscorrelation, at the cost of adding an additional source extrapolation. Reverse time checkpointing avoided recursive forward recomputation. Two nonreconstructive imaging conditions do not require full snapshot storage or an additional extrapolation. Time-binning the imaging criteria removed the need for image time searching or sorting. Numerical examples using elastic data from the Marmousi2 model showed that the quality of the elastic prestack PP and PS images produced by the cost-optimized alternative algorithms were (virtually) identical to the higher cost images produced by traditional crosscorrelation.
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Addlin, Shiney R., Kumar T. Saravana, and Mary M. Roslin. "Automatic Extrapolation of User Intention for Internet Image Search without Duplication." Applied Mechanics and Materials 573 (June 2014): 447–52. http://dx.doi.org/10.4028/www.scientific.net/amm.573.447.

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.Image search engines (e.g. Google Image Search, Bing Image Search) mostly depends on the given query surrounding text features. It increases complexity to interpret users search intention only by giving single query keywords and this leads to ambiguous and noisy search results. To solve the ambiguity in the image search, consider visual information along with the text features. In this approach user has to click a single search return image and the search results are re-ranked based on the similarity in visual and textual content. Our work is to capture user search intention by doing one-click image search has four steps. Adaptive weight categories are predefined to category the query image and this helps to re-rank the text based search results. Keywords are expanded based on the selected query image visual content that helps to capture user intention. Based on the expanded keywords image pool get expanded that contain more relevant images with the query image. Expanded keywords are also used to expand the query image that lead to multiple positive similar images and the similarity metrics are learned for page re-ranking. Re-ranking of similarity images to the query image based on photo quality assessment to provide better search results.
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Wu, Xian, Rui-Long Li, Fang-Lue Zhang, Jian-Cheng Liu, Jue Wang, Ariel Shamir, and Shi-Min Hu. "Deep Portrait Image Completion and Extrapolation." IEEE Transactions on Image Processing 29 (2020): 2344–55. http://dx.doi.org/10.1109/tip.2019.2945866.

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Esmersoy, Cengiz, and Michael Oristaglio. "Reverse‐time wave‐field extrapolation, imaging, and inversion." GEOPHYSICS 53, no. 7 (July 1988): 920–31. http://dx.doi.org/10.1190/1.1442529.

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The scattered wave field propagated backward in time into an arbitrary background medium is related via a volume integral to perturbations in velocity about the background, which are expressed as a scattering potential. In general, there is no closed‐form expression for the kernel of this integral representation, although it can be expressed asymptotically as a superposition of plane waves backpropagated from the receiver array. When the receiver array completely surrounds the scatterer, the kernel reduces to the imaginary part of the Green’s function for the background medium. This integral representation is used to relate the images obtained by imaging algorithms to the actual scattering potential. Two such relations are given: (1) for the migrated image, obtained by deconvolving the extrapolated field with the incident field; and (2) for the reconstructed image, obtained by applying a one‐way wave operator to the extrapolated field and then deconvolving by the incident field. The migrated image highlights rapid changes in the scattering potential (interfaces), whereas the reconstructed image can, under ideal conditions, be a perfect reconstruction of the scattering potential. “Ideal” conditions correspond to (1) weak scattering about a smoothly varying background medium, (2) a receiver array with full angular aperture, and (3) data of infinite bandwidth. Images obtained from a multioffset vertical seismic profile (VSP) illustrate some of the practical differences between the two imaging algorithms. The reconstructed image shows a much clearer picture of the target (a reef structure), in part because the one‐way imaging operator eliminates artifacts caused by the limited aperture of the receiver array.
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Seiler, J., and A. Kaup. "Complex-Valued Frequency Selective Extrapolation for Fast Image and Video Signal Extrapolation." IEEE Signal Processing Letters 17, no. 11 (November 2010): 949–52. http://dx.doi.org/10.1109/lsp.2010.2078504.

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Zhang, Xiaofeng, Feng Chen, Cailing Wang, Ming Tao, and Guo-Ping Jiang. "SiENet: Siamese Expansion Network for Image Extrapolation." IEEE Signal Processing Letters 27 (2020): 1590–94. http://dx.doi.org/10.1109/lsp.2020.3019705.

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Bobman, S. A., S. J. Riederer, J. N. Lee, T. Tasciyan, F. Farzaneh, and H. Z. Wang. "Pulse sequence extrapolation with MR image synthesis." Radiology 159, no. 1 (April 1986): 253–58. http://dx.doi.org/10.1148/radiology.159.1.3952314.

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Chang, Wen‐Fong, and George A. McMechan. "Reverse‐time migration of offset vertical seismic profiling data using the excitation‐time imaging condition." GEOPHYSICS 51, no. 1 (January 1986): 67–84. http://dx.doi.org/10.1190/1.1442041.

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To apply reverse‐time migration to prestack, finite‐offset data from variable‐velocity media, the standard (time zero) imaging condition must be generalized because each point in the image space has a different image time (or times). This generalization is the excitation‐time imaging condition, in which each point is imaged at the one‐way traveltime from the source to that point. Reverse‐time migration with the excitation‐time imaging condition consists of three elements: (1) computation of the imaging condition; (2) extrapolation of the recorder wave field; and (3) application of the imaging condition. Computation of the imaging condition for each point in the image is done by ray tracing from the source point; this is equivalent to extrapolation of the source wave field through the medium. Extrapolation of the recorded wave field is done by an acoustic finite‐difference algorithm. Imaging is performed at each step of the finite‐difference extrapolation by extracting, from the propagating wave field, the amplitude at each mesh point that is imaged at that time and adding these into the image space at the same spatial locations. The locus of all points imaged at one time step is a wavefront [a constant time (or phase) trajectory]. This prestack migration algorithm is very general. The excitation‐time imaging condition is applicable to all source‐receiver geometries and variable‐velocity media and reduces exactly to the usual time‐zero imaging condition when used with zero‐offset surface data. The algorithm is illustrated by application to both synthetic and real VSP data. The most interesting and potentially useful result in the processing of the synthetic data is imaging of the horizontal fluid interfaces within a reservoir even when the surrounding reservoir boundaries are not well imaged.
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Dissertations / Theses on the topic "Image extrapolation"

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Drake, Robert M. "Far field extrapolation technique using CHIEF enclosing sphere deduced pressures and velocities." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FDrake.pdf.

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Casanove, Marie-José. "Deconvolution partielle et reconstruction d'image : un nouveau principe de regularisation." Toulouse 3, 1987. http://www.theses.fr/1987TOU30022.

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Il est montre qu'un bon conditionnement du probleme peut etre assure en limitant de facon explicite la resolution desiree sur l'objet a reconstruire. La procedure interactive developpee sur la base du principe de regularisation permet d'estimer tous les parametres "cles" du probleme. L'influence des divers parametres du probleme sur la qualite de la reconstruction est mise en evidence par des resultats obtenus lors de la deconvolution partielle d'images simulees. Le processus est ensuite applique a des spectres de pertes d'energie experimentaux obtenus en microscopie electronique
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Martin, Aurélie. "Représentations parcimonieuses adaptées à la compression d'images." Phd thesis, Université Rennes 1, 2010. http://tel.archives-ouvertes.fr/tel-00482804.

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La compression numérique est devenue un outil indispensable pour la transmission et le stockage de contenus multimédias de plus en plus volumineux. Pour répondre à ces besoins, la norme actuelle de compression vidéo, H.264/AVC, se base sur un codage prédictif visant à réduire la quantité d'information à transmettre. Une image de prédiction est générée, puis soustraite à l'originale pour former une image résiduelle contenant un minimum d'information. La prédiction H.264/AVC de type intra repose sur la propagation de pixels voisins, le long de quelques directions prédéfinies. Bien que très efficace pour étendre des motifs répondants aux mêmes caractéristiques, cette prédiction présente des performances limitées pour l'extrapolation de signaux bidimensionnels complexes. Pour pallier cette problématique, les travaux de cette thèse proposent un nouveau schéma de prédiction basée sur les représentations parcimonieuses. Le but de l'approximation parcimonieuse est ici de rechercher une extrapolation linéaire approximant le signal analysé en termes de fonctions bases, choisies au sein d'un ensemble redondant. Les performances de cette approche ont été éprouvées dans un schéma de compression basé sur la norme H.264/AVC. Nous proposons également un nouveau schéma de prédiction spatiale inter-couches dans le cadre de la compression « scalable » basé sur H.264/SVC. Le succès de telles prédictions repose sur l'habileté des fonctions de base à étendre correctement des signaux texturés de natures diverses. Dans cette optique, nous avons également exploré des pistes visant la création de panels de fonctions de base, adaptées pour la prédiction de zones texturées.
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Šuránek, David. "Určení optimální velikosti bloků pro řídkou reprezentaci obrazu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220218.

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Introduction of this thesis is dedicated to the description of basic concepts and algorithms for image processing using sparse representation. Furthermore there is mentioned neural network model called Restricted Boltzmann machine, which is in the practical part of the thesis subject of behaving observation in the task of determining the optimal block size for extrapolation using K-SVD algorithm
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Шоман, Ольга Вікторівна. "Геометричне моделювання узагальнених паралельних множин." Thesis, Київський державний технічний університет будівництва i архітектури, 2007. http://repository.kpi.kharkov.ua/handle/KhPI-Press/20365.

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Дисертація на здобуття наукового ступеня доктора технічних наук зі спеціальності 05.01.01 – Прикладна геометрія, інженерна графіка. – Київський національний університет будівництва і архітектури, Київ, 2007. Дисертацію присвячено розробці теорії геометричного моделювання узагальнених паралельних множин для розв'язання задач формоутворення в часі геометричних об'єктів – наочних геометричних моделей динамічних явищ і процесів, що характеризуються хвильовими фронтами, поверхні яких у певні моменти часу утворюють просторову конформну сітку з лініями у напрямках руху цих фронтів, або характеризуються ізолініями, конформними до напрямків зміни фізичних параметрів. На основі введеної термінології запропоновано загальний підхід до геометричного моделювання проявів процесів і явищ різної фізичної природи. Розроблено теоретичні основи методу опису геометричних моделей паралельних множин на площині за допомогою рівнянь Гамільтона – Якобі у вигляді рівняння ейконала для кривих, що мають точки звороту або самі себе перетинають; методу опису геометричних моделей паралельних множин за допомогою нормальних рівнянь для поверхонь, які задано у параметричному вигляді; методу на основі конформних відображень, в якому запропоновано новий геометричний зміст функції комплексного потенціалу вихору і одержано нові геометричні моделі сімей квазіпаралельних ліній на комплексній площині. Удосконалено метод іміджевої екстраполяції для прогнозування геометричної форми ліній на площині, як елементів узагальнених паралельних множин. Розроблені методи дозволяють вивчати якісні зміни об'єктів, що моделюються.
Thesis for a doctor's degree in engineering sciences. Specialty: 05.01.01 – Applied geometry, engineering graphics. – Kyiv National University of Building and Architecture. – Kyiv, 2007. The dissertation is devoted to developing of the geometrical modelling theory of the general parallel sets for problems solving of geometrical objects form-formation in time which are visual geometrical models of dynamic phenomena and processes characterized by wave fronts surfaces which create the space conformal set in the moments of time with the lines on directions of these fronts moving or by isolines which are conformal to directions of physical parameters change. On introduced terminology basis the general approach to the geometrical modelling of different origin physical phenomena and processes displays is proposed. It was developed the theoretical basis of: the method of parallel sets geometrical models creation on the plane by means of Hamilton – Jacobi equation as eikonal equation for the curves with return and self-intersection points; the method of parallel sets geometrical models creation by means of normal equations for the surfaces in parameter form; the method based on conformal representations, in which the new geometrical meaning of twister complex potential function was proposed and the new geometrical models of quasi-parallel lines sets were obtained on the complex plane; the improved image extrapolation method for forecasting of geometrical form of lines on the plane as the elements of general parallel sets. These methods allow to research qualitative change of objects modelled.
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Dernbach, Rafael Karl. "Anticipatory realism : constructions of futures and regimes of prediction in contemporary post-cinematic art." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/289021.

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This thesis examines strategies of anticipation in contemporary post-cinematic art. In the Introduction and the first chapter, I make the case for anticipation as a cultural technique for the construction of and adjustment to future scenarios. This framing allows analysis of constructions of futures as culturally and media-historically specific operations. Via anticipation, constructions of futures become addressable as embedded in specific performative and material economies: as regimes of prediction. The hypothesis is that cultural techniques of anticipation do not only serve to construct particular future scenarios, but also futurity, the very condition for the construction of futures. Drawing upon the philosophical works of, in particular, Vilem Flusser, Jacques Derrida and Elena Esposito, and the theory of cultural techniques, I conceptualize anticipation through the analysis of post-cinematic strategies. I argue that post-cinematic art is particularly apt for the conceptualization of anticipation. The self-reflexive multi-media interventions of post-cinematic art can expose the realisms that govern regimes of prediction. Three cultural techniques of anticipation and their use as artistic strategies in post-cinematic art are theorized: enactment, soft montage and rendering. Each of these techniques is examined in its construction of futures through performative and material operations in art gallery spaces. The second chapter examines strategies of enactment in post-cinematic installations by Neïl Beloufa. My readings of Kempinski (2007), The Analyst, the Researcher, the Screenwriter, the CGI tech and the Lawyer (2011), World Domination (2012) and Data for Desire (2014) propose that enactment allows for an engagement with futures beyond extrapolation. With Karen Barad's theory of agential realism, the construction of futures becomes graspable as a political process in opposition to a mere prolonging of the present into the future. The third chapter focuses on the strategy of soft montage in works by Harun Farocki. I interpret Farocki's application of soft montage in the exhibition Serious Games I-IV (2009-2010) as a critical engagement with anticipatory forms of organizing power and distributing precarity. His work series Parallel I-IV (2012-2014) is then analyzed as a speculation on the future of image production technologies and their role in constructing futures. The final chapter analyses the self-referential use of computer-generated renderings in works by Hito Steyerl. The installations How Not To Be Seen (2013), Liquidity Inc. (2014), The Tower (2015) and ExtraSpaceCraft (2016) are read as interventions in the performative economies of contemporary image production. I argue that these works allow us to grasp the reality-producing and futurity-producing effects of rendering as anticipatory cultural technique. My thesis aims to contribute to the discussions on a 'turn towards the future' in contemporary philosophy and cultural criticism. My research thus focuses on the following set of questions. What can we learn about the operations of future construction through encounters with post-cinematic art? How are futures and future construction framed in such art? What realisms do future constructions rely on? And how can anticipation as a cultural technique be politicized and democratized?
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Mayer, Gregory. "Resolution Enhancement in Magnetic Resonance Imaging by Frequency Extrapolation." Thesis, 2008. http://hdl.handle.net/10012/4144.

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This thesis focuses on spatial resolution enhancement of magnetic resonance imaging (MRI). In particular, it addresses methods of performing such enhancement in the Fourier domain. After a brief review of Fourier theory, the thesis reviews the physics of the MRI acquisition process in order to introduce a mathematical model of the measured data. This model is later used to develop and analyze methods for resolution enhancement, or "super-resolution'', in MRI. We then examine strategies of performing super-resolution MRI (SRMRI). We begin by exploring strategies that use multiple data sets produced by spatial translations of the object being imaged, to add new information to the reconstruction process. This represents a more detailed mathematical examination of the author's Master's work at the University of Calgary. Using our model of the measured data developed earlier in the thesis, we describe how the acquisition strategy determines the efficacy of the SRMRI process that employs multiple data sets. The author then explores the self-similarity properties of MRI data in the Fourier domain as a means of performing spatial resolution enhancement. To this end, a fractal-based method over (complex-valued) Fourier Transforms of functions with compact spatial support, derived from a fractal transform in the spatial domain, is explored. It is shown that this method of "Iterated Fourier Transform Systems" (IFTS) can be tailored to perform frequency extrapolation, hence spatial resolution enhancement. The IFTS method, however, is limited in scope, as it assumes that a spatial function f(x) may be approximated by linear combinations of spatially-contracted and range-modified copies of the entire function. In order to improve the approximation, we borrow from traditional fractal image coding in the spatial domain, where subblocks of an image are approximated by other subblocks, and employ such a block-based strategy in the Fourier domain. An examination of the statistical properties of subblock approximation errors shows that, in general, Fourier data can be locally self-similar. Furthermore, we show that such a block-based self-similarity method is actually equivalent to a special case of the auto-regressive moving average (ARMA) modeling method. The thesis concludes with a chapter on possible future research directions in SRMRI.
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Meisinger, Katrin [Verfasser]. "Selective signal extrapolation and its application in image and video communications / vorgelegt von Katrin Meisinger." 2008. http://d-nb.info/988593106/34.

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Martin, Elodie. "Analyse de signaux ultrasonores, Formation d'Images de Cohérence - Application à la Microscopie Acoustique de circuits électroniques." Phd thesis, 2007. http://tel.archives-ouvertes.fr/tel-00473190.

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La microscopie acoustique à balayage est une technologie largement utilisée dans l'imagerie non destructive de circuits microélectroniques. Les protocoles standards, établis pour des circuits simples, conduisent à des résultats difficilement interprétables lors de l'inspection d'assemblages petits et complexes. La limite de résolution axiale de ces dispositifs étant atteinte, une approche plus rigoureuse est proposée afin de comprendre la propagation des échos ultrasonores dans les circuits "Flip-Chip LFBGA". L'objectif de cette thèse consiste à présenter une analyse critique de signaux et images ultrasonores. La première partie de ce travail est consacrée à l'étude de la propagation des ondes planes dans des milieux feuilletés, modèle dit "direct". Dans la seconde partie, diverses méthodes de résolution du problème inverse, ou déconvolution, de signaux ultrasonores sont testées et comparées. Enfin, la troisième partie propose une nouvelle méthode, la cohérence locale temporelle, basée sur la comparaison de signaux ultrasonores réfléchis sur des circuits complexes.
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Book chapters on the topic "Image extrapolation"

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Guo, Dongsheng, Hongzhi Liu, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, Haiyong Zheng, and Bing Zheng. "Spiral Generative Network for Image Extrapolation." In Computer Vision – ECCV 2020, 701–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58529-7_41.

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Kainmueller, Dagmar. "Extrapolation and Atlas-based Segmentation of Leg Muscles." In Deformable Meshes for Medical Image Segmentation, 147–60. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-07015-1_10.

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Happonen, A. P., and U. Ruotsalainen. "A Comparative Study of Angular Extrapolation in Sinogram and Stackgram Domains for Limited Angle Tomography." In Image Analysis, 1047–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_106.

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Werner, Tomáš, Tomáš Pajdla, and Václav Hlaváč. "Efficient 3-D scene visualization by image extrapolation." In Lecture Notes in Computer Science, 382–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0054754.

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Brito, Alejandro E., Shiu H. Chan, and Sergio D. Cabrera. "SAR Image Superresolution via 2-D Adaptive Extrapolation." In Radar Signal Processing and Its Applications, 83–104. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-6342-3_4.

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Ren, Yongpeng, Xian Zhang, Hongping Ren, Lutao Wang, Guanrao Huang, Taisong Xiong, and Xiaojie Li. "Image Extrapolation Based on Perceptual Loss and Style Loss." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 179–91. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77569-8_13.

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Remmele, Steffen, and Jürgen Hesser. "Vector Extrapolation-Based Acceleration of Regularized Richardson Lucy Image Deblurring." In Bildverarbeitung für die Medizin 2009, 400–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-93860-6_81.

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Wang, Ce, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, and S. Kevin Zhou. "Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 86–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87231-1_9.

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Aizenberg, Naum N., Igor N. Aizenberg, and Georgy A. Krivosheev. "Multi-valued neurons: Learning, networks, application to image recognition and extrapolation of temporal series." In Lecture Notes in Computer Science, 389–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-59497-3_200.

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Guillot, Laurence, and Carole Le Guyader. "Extrapolation of Vector Fields Using the Infinity Laplacian and with Applications to Image Segmentation." In Lecture Notes in Computer Science, 87–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02256-2_8.

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Conference papers on the topic "Image extrapolation"

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Lee, Sangjin, Hyeongmin Lee, Taeoh Kim, and Sangyoun Lee. "Extrapolative-Interpolative Cycle-Consistency Learning For Video Frame Extrapolation." In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9191286.

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Rukundo, Olivier, and Samuel Emil Schmidt. "Extrapolation for image interpolation." In Optoelectronic Imaging and Multimedia Technology V, edited by Qionghai Dai and Tsutomu Shimura. SPIE, 2018. http://dx.doi.org/10.1117/12.2504213.

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Wang, Yi, Xin Tao, Xiaoyong Shen, and Jiaya Jia. "Wide-Context Semantic Image Extrapolation." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00149.

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Li, Yijun, Lu Jiang, and Ming-Hsuan Yang. "Controllable and Progressive Image Extrapolation." In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2021. http://dx.doi.org/10.1109/wacv48630.2021.00219.

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Khurana, Bholeshwar, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, and Kuldeep Kulkarni. "SemIE: Semantically-aware Image Extrapolation." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.01463.

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Spirik, Jan, Jan Zatyik, and Levente Locsi. "Image extrapolation using K-SVD algorithm." In 2013 36th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2013. http://dx.doi.org/10.1109/tsp.2013.6614065.

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Bowen, Richard Strong, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, and Ramin Zabih. "OCONet: Image Extrapolation by Object Completion." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00234.

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Ferreira, P. J. S. G. "Two fast extrapolation/superresolution algorithms." In Proceedings of 7th IEEE International Conference on Image Processing. IEEE, 2000. http://dx.doi.org/10.1109/icip.2000.899383.

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Lu, Yao, and James K. Hahn. "Shape-based three-dimensional body composition extrapolation using multimodality registration." In Image Processing, edited by Elsa D. Angelini and Bennett A. Landman. SPIE, 2019. http://dx.doi.org/10.1117/12.2505896.

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Punzet, Daniel, Robert Frysch, Tim Pfeiffer, Oliver Beuing, and Georg Rose. "GCC-based extrapolation of truncated CBCT data with dimensionality-reduced extrapolation models." In The Fifteenth International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, edited by Samuel Matej and Scott D. Metzler. SPIE, 2019. http://dx.doi.org/10.1117/12.2534510.

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