Results 171 to 180 of about 2,730 (217)
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A PDE Formalization of Retinex Theory
IEEE Transactions on Image Processing, 2010In 1964 Edwin H. Land formulated the Retinex theory, the first attempt to simulate and explain how the human visual system perceives color. His theory and an extension, the "reset Retinex" were further formalized by Land and McCann. Several Retinex algorithms have been developed ever since. These color constancy algorithms modify the RGB values at each
Jean-Michel Morel +2 more
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Retinex theory estimates the human color sensation at any observed point by correcting its color based on the spatial arrangement of the colors in proximate regions. In this work, we revise two recent path-based, edge-aware Retinex implementations: Termite Retinex (TR) and Energy-driven Termite Retinex (ETR).
Simone, Gabriele +3 more
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A Total Variation Model for Retinex
SIAM Journal on Imaging Sciences, 2011Human vision has the ability to recognize color under varying illumination conditions. Retinex theory is introduced to explain how the human visual system perceives color. The main aim of this paper is to present a total variation model for Retinex.
Michael K Ng
exaly +2 more sources
The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006
The retinex algorithm for lightness and color constancy is extended to include 3-dimensional spatial information reconstructed from a stereo image. A key aspect of traditional retinex is that, within each color channel, it makes local spatial comparisons of intensity.
Weihua Xiong, Brian V. Funt
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The retinex algorithm for lightness and color constancy is extended to include 3-dimensional spatial information reconstructed from a stereo image. A key aspect of traditional retinex is that, within each color channel, it makes local spatial comparisons of intensity.
Weihua Xiong, Brian V. Funt
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A Variational Framework for Retinex
International Journal of Computer Vision, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ron Kimmel +4 more
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Variational Bayesian Method for Retinex
IEEE Transactions on Image Processing, 2014In this paper, we propose a variational Bayesian method for Retinex to simulate and interpret how the human visual system perceives color. To construct a hierarchical Bayesian model, we use the Gibbs distributions as prior distributions for the reflectance and the illumination, and the gamma distributions for the model parameters.
Liqian Wang +3 more
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Analyzing center/surround retinex
Information Sciences, 2020Abstract The receptive fields in the Human Visual System (HVS) are organized in such a way that they not merely capture information on the photoreceptor’s exposition to light but also on the differences in firing rates of their center and surround cells.
Jose Luis Lisani +3 more
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J. Electronic Imaging, 2004
Many different descriptions of Retinex methods of light- ness computation exist. We provide concise MATLAB™ implemen- tations of two of the spatial techniques of making pixel comparisons. The code is presented, along with test results on several images and a discussion of the results.
Brian V. Funt +2 more
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Many different descriptions of Retinex methods of light- ness computation exist. We provide concise MATLAB™ implemen- tations of two of the spatial techniques of making pixel comparisons. The code is presented, along with test results on several images and a discussion of the results.
Brian V. Funt +2 more
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Acceleration of an improved Retinex algorithm
CVPR 2011 WORKSHOPS, 2011Retinex is an image restoration method and the center/surround Retinex is appropriate for parallelization because it utilizes a convolution operation with large kernel size to achieve dynamic range compression and color/lightness rendition. However, its great capability for image enhancement comes with intensive computation.
Yuan-Kai Wang, Wen-Bin Huang
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The Goldfish as a Retinex Animal
Science, 1985In an experiment designed to test color constancy in a situation comparable to that used in E. H. Land's experiments with human observers, goldfish were trained to approach a particular color within a richly colored but variable "Mondrian" background.
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