Results 31 to 40 of about 550,068 (301)
CoRR, 2016 Cameras that can measure the depth of each pixel in addition to its color have become easily available and are used in many consumer products worldwide. Often the depth channel is captured at lower quality compared to the RGB channels and different algorithms have been proposed to improve the quality of the D channel given the RGB channels.
Dan Rosenbaum, Yair Weiss
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Statistical image analysis of longitudinal RAVENS images [PDF]
Frontiers in Neuroscience, 2015 Regional analysis of volumes examined in normalized space (RAVENS) are transformation images used in the study of brain morphometry. In this paper, RAVENS images are analyzed using a longitudinal variant of voxel-based morphometry (VBM) and longitudinal functional principal component analysis (LFPCA) for high-dimensional images. We demonstrate that the
Lee, Seonjoo +3 more
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Statistical limitations in ion imaging [PDF]
Physics in Medicine & Biology, 2021 Abstract In this study, we investigated the capacity of various ion beams available for radiotherapy to produce high quality relative stopping power map acquired from energy-loss measurements. The image quality metrics chosen to compare the different ions were signal-to-noise ratio (SNR) as a function of dose and spatial resolution ...
Charles-Antoine Collins-Fekete +3 more
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Statistical Thermodynamics of Natural Images [PDF]
Physical Review Letters, 2013 The scale invariance of natural images suggests an analogy to the statistical mechanics of physical systems at a critical point. Here we examine the distribution of pixels in small image patches and show how to construct the corresponding thermodynamics.
Stephens, G.J. +3 more
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An image reconstruction framework for characterizing initial visual encoding
eLife, 2022 We developed an image-computable observer model of the initial visual encoding that operates on natural image input, based on the framework of Bayesian image reconstruction from the excitations of the retinal cone mosaic.
Ling-Qi Zhang +2 more
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Statistics of natural image categories [PDF]
Network: Computation in Neural Systems, 2003 In this paper we study the statistical properties of natural images belonging to different categories and their relevance for scene and object categorization tasks. We discuss how second-order statistics are correlated with image categories, scene scale and objects.
Antonio, Torralba, Aude, Oliva
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Statistics of natural images and models [PDF]
Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 2003 Large calibrated datasets of 'random' natural images have recently become available. These make possible precise and intensive statistical studies of the local nature of images. We report results ranging from the simplest single pixel intensity to joint distribution of 3 Haar wavelet responses.
Huang, Jinggang, Mumford, David
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Statistical image fusion with generalised Gaussian and Alpha-Stable distributions [PDF]
, 2007 This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images.
Loza, AT +3 more
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Low-level contrast statistics are diagnostic of invariance of natural textures.
Frontiers in Computational Neuroscience, 2012 Texture may provide important clues for real world object and scene perception. For these clues to be reliable, they should ideally be invariant to common viewing variations such as changes in illumination and orientation.
Iris I. A. Groen +4 more
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Thermal Image Restoration Based on LWIR Sensor Statistics
Sensors, 2021 An imaging system has natural statistics that reflect its intrinsic characteristics. For example, the gradient histogram of a visible light image generally obeys a heavy-tailed distribution, and its restoration considers natural statistics.
Jaeduk Han, Haegeun Lee, Moon Gi Kang
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