Results 11 to 20 of about 919 (135)
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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Color and Imaging Conference, 2019 Retinex is a colour vision model introduced by Land more than 40 years ago. Since then, it has also been widely and successfully used for image enhancement. However, Retinex often introduces colour and halo artefacts. Artefacts are a necessary consequence of the per channel color processing and the lack of any strong control for controlling the ...
Javier Vazquez-Corral +1 more
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Image Processing On Line, 2014 While the retinex theory aimed at explaining human color perception, its derivations have led to efficient algorithms enhancing local image contrast, thus permitting among other features, to "see in the shadows". Among these derived algorithms, Multiscale Retinex is probably the most successful center-surround image filter.
Ana Belén Petro +2 more
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Tuning Retinex parameters [PDF]
Journal of Electronic Imaging, 2004 Our goal is to understand how the Retinex parameters affect the predictions of the model. A simplified Retinex computation is specified in the recent MATLAB TM implementation; however, there remain several free parameters that introduce significant variability into the model's predictions. We extend previous work on specifying these parameters.
Florian Ciurea, Brian V. Funt
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Journal of Electronic Imaging, 2017 Several different implementations of the Retinex model have been derived from the original Land and McCann’s paper. This paper aims at presenting the Milano-Retinex family, a collection of slightly different Retinex implementations, developed by the Department of Computer Science of Universita degli Studi di Milano. One important difference is in their
A. Rizzi, C. Bonanomi
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Lightness and Retinex Theory [PDF]
Journal of the Optical Society of America, 1971 Sensations of color show a strong correlation with reflectance, even though the amount of visible light reaching the eye depends on the product of reflectance and illumination. The visual system must achieve this remarkable result by a scheme that does not measure flux. Such a scheme is described as the basis of retinex theory. This theory assumes that
E H, Land, J J, McCann
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Color and Imaging Conference, 2000 Many different descriptions of Retinex methods of lightness computation exist. We provide concise MATLAB™ implementations 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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Accelerating the Retinex Algorithm with CUDA [PDF]
Journal of information and communication convergence engineering, 2010 Recently, the television market trend is change to HD television and the need of the study on HD image enhancement is increased rapidly. To enhancement of image quality, the retinex algorithm is commonly used. That’s why we studied how to accelerate the retinex algorithm with CUDA on GPGPU (general purpose graphics processing unit).
Hyo-Seok Seo, Oh-Young Kwon
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Journal of Electronic Imaging, 2004 Edwin Land first described the Retinex idea in the 1963 RESA William Proctor Prize Address, Cleveland, Ohio, on December 30, 1963. He said that it was fruitful to suggest that receptors exist in sets. A Retinex is all mechanisms from retina to cortex necessary to form images in terms of lightness.
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QBRIX: a quantile-based approach to retinex [PDF]
Journal of the Optical Society of America A, 2014 In this paper, we introduce a novel probabilistic version of retinex. It is based on a probabilistic formalization of the random spray retinex sampling and contributes to the investigation of the spatial properties of the model. Various versions available of the retinex algorithm are characterized by different procedures for exploring the image content
Gianini, G, Manenti, A, Rizzi, A
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