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Adaptive fusion based deep learning framework for restoring underwater image quality using multi scale attention features. [PDF]
Sci RepVeeramakali T, Sayeed MS, Yogarayan S.
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CDFFusion: A Color-Deviation-Free Fusion Network for Nighttime Infrared and Visible Images. [PDF]
Sensors (Basel)Chen H, Zhang T, Zhai S, Tong X, Zhu R.
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2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022
The Retinex algorithms find wide applications as image enhancers, for their capability of preserving edges, while at the same time attenuating smooth gradients and chromatic dominants. They are characterized by the fact that the output chromatic intensity of a pixel is not determined in isolation (or looking only at the contiguous pixels) but through ...
Pezzoni, Claudio +3 more
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The Retinex algorithms find wide applications as image enhancers, for their capability of preserving edges, while at the same time attenuating smooth gradients and chromatic dominants. They are characterized by the fact that the output chromatic intensity of a pixel is not determined in isolation (or looking only at the contiguous pixels) but through ...
Pezzoni, Claudio +3 more
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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
Catalina Sbert
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Random Spray Retinex: A New Retinex Implementation to Investigate the Local Properties of the Model [PDF]
IEEE Transactions on Image Processing, 2007 In order to investigate the local filtering behavior of the Retinex model, we propose a new implementation in which paths are replaced by 2-D pixel sprays, hence the name "random spray Retinex." A peculiar feature of this implementation is the way its parameters can be controlled to perform spatial investigation.
Alessandro Rizzi +2 more
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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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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 Ng
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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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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
openaire +2 more sources