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Image Super-Resolution Via Sparse Representation
IEEE Transactions on Image Processing, 2010 This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be well-represented as a sparse linear combination of elements from an appropriately ...
John Wright
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Nonlocally Centralized Sparse Representation for Image Restoration [PDF]
IEEE Transactions on Image Processing, 2013 Sparse representation models code an image patch as a linear combination of a few atoms chosen out from an over-complete dictionary, and they have shown promising results in various image restoration applications.
Weisheng Dong
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Nonredundant image representations
Proceedings of International Conference on Image Processing, 2002We consider the problem of sending raw image data over lossy or heterogeneous network connections with as little overhead as possible. If the network connection does not support multiple priority levels and the network drops packets at random, a technique is needed where the data would be divided into parts of equal importance, so that the image could ...
F. M. L. Ng, Jelena Kovacevic
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Holographic representations of images
IEEE Transactions on Image Processing, 1998We discuss a new type of holographic image representations that have advantages in a "distributed" world. We call these representations holographic. Arbitrary portions of a holographic representation enable reconstruction of the whole image, with distortions that decrease gradually with the increase in the size of the portions available.
Alfred M. Bruckstein +2 more
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A representation for mammographic image processing
Medical Image Analysis, 1995Mammographic image analysis is typically performed using standard, general-purpose algorithms. We note the dangers of this approach and show that an alternative physics-model-based approach can be developed to calibrate the mammographic imaging process. This enables us to obtain, at each pixel, a quantitative measure of the breast tissue.
Ralph Highnam +2 more
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Multiple representations and sparse representation for image classification
Pattern Recognition Letters, 2015To extract salient features from images is significant for image classification. Deformable objects suffer from the problem that a number of pixels may have varying intensities. In other words, pixels at the same positions of training samples and test samples of an object usually have different intensities, which makes it difficult to obtain salient ...
Yong Xu 0001 +2 more
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Invariant representation in image processing
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002The paper discusses the role of invariance in image processing, specifically the desire to discriminate against unwanted variations in the scene while maintaining the power to tell the difference between object-intrinsic characteristics and scene-accidental conditions. It provides an analysis and references of what are directly observables in a general
Smeulders, A.W.M. +2 more
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A-Optimal Projection for Image Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016We consider the problem of image representation from the perspective of statistical design. Recent studies have shown that images are possibly sampled from a low dimensional manifold despite of the fact that the ambient space is usually very high dimensional. Learning low dimensional image representations is crucial for many image processing tasks such
Xiaofei He 0001 +3 more
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Issues in Legal Scholarship, 2005
This paper is one of a series of papers commemorating Richard Stewart’s important article, The Reformation of American Administrative Law. Among other things, Stewart’s 1975 article identified “interest representation†as the central idea that animated a series of important and disparate developments in administrative law doctrine.
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This paper is one of a series of papers commemorating Richard Stewart’s important article, The Reformation of American Administrative Law. Among other things, Stewart’s 1975 article identified “interest representation†as the central idea that animated a series of important and disparate developments in administrative law doctrine.
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A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation
ACM Computing Surveys, 2023Xiaochun Cao +2 more
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