Results 21 to 30 of about 550,068 (301)
No-Reference Image Quality Assessment with Global Statistical Features
Journal of Imaging, 2021 The perceptual quality of digital images is often deteriorated during storage, compression, and transmission. The most reliable way of assessing image quality is to ask people to provide their opinions on a number of test images.
Domonkos Varga
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Robust statistics for image deconvolution [PDF]
Astronomy and Computing, 2017 We present a blind multiframe image-deconvolution method based on robust statistics. The usual shortcomings of iterative optimization of the likelihood function are alleviated by minimizing the M-scale of the residuals, which achieves more uniform convergence across the image.
Matthias A. Lee +3 more
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Physics And Statistics Of Medical Imaging [PDF]
SPIE Proceedings, 1989 Extraordinary progress has been made over the last two decades in the development and dissemination of new medical imaging technologies. The development of computed tomography, positron emission tomography, and magnetic resonance imaging, as well as major innovations to the conventional imaging modalities, have revolutionized medical diagnostic imaging.
D G, Brown, R F, Wagner
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Visual Discomfort and Variations in Chromaticity in Art and Nature
Frontiers in Neuroscience, 2021 Visual discomfort is related to the statistical regularity of visual images. The contribution of luminance contrast to visual discomfort is well understood and can be framed in terms of a theory of efficient coding of natural stimuli, and linked to ...
Olivier Penacchio +5 more
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A statistical model for contours in images [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004 In this paper, we describe a statistical model for the gradient vector field of the gray level in images validated by different experiments. Moreover, we present a global constrained Markov model for contours in images that uses this statistical model for the likelihood.
François Destrempes, Max Mignotte
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Fast image completion method using patch offset statistics
, 2022 S.1795-1799Image completion is a technique that involves repairing damaged images or filling in missing regions in a visually pleasing manner. In this work, a novel fast image completion approach is proposed, which finds the best textures to be filled ...
Köppel, M. +3 more
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Human Texture Vision as Multi-Order Spectral Analysis
Frontiers in Computational Neuroscience, 2021 Texture information plays a critical role in the rapid perception of scenes, objects, and materials. Here, we propose a novel model in which visual texture perception is essentially determined by the 1st-order (2D-luminance) and 2nd-order (4D-energy ...
Kosuke Okada, Isamu Motoyoshi
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Classical Statistics and Statistical Learning in Imaging Neuroscience [PDF]
Frontiers in Neuroscience, 2017 Published by Frontiers Research Foundation ...
Danilo Bzdok, Danilo Bzdok, Danilo Bzdok
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Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes
eLife, 2021 Efficient processing of sensory data requires adapting the neuronal encoding strategy to the statistics of natural stimuli. Previously, in Hermundstad et al., 2014, we showed that local multipoint correlation patterns that are most variable in natural ...
Riccardo Caramellino +5 more
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Natural Image Statistics for Natural Image Segmentation [PDF]
International Journal of Computer Vision, 2003 Building on recent progress in modeling filter response statistics of natural images we integrate a statistical model into a variational framework for image segmentation. Incorporated in a sound probabilistic distance measure the model drives level sets toward meaningful segmentations of complex textures and natural scenes.
Heiler, Matthias, Schnörr, Christoph
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