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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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Visual communication with retinex coding
Applied Optics, 2000Visual communication with retinex coding seeks to suppress the spatial variation of the irradiance (e.g., shadows) across natural scenes and preserve only the spatial detail and the reflectance (or the lightness) of the surface itself. The separation of reflectance from irradiance begins with nonlinear retinex coding that sharply and clearly enhances ...
F O, Huck +3 more
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Retinex enhancement of infrared images
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008With the ability of imaging the temperature distribution of body, infrared imaging is promising in diagnostication and prognostication of diseases. However the poor quality of the raw original infrared images prevented applications and one of the essential problems is the low contrast appearance of the imagined object.
Ying, Li +7 more
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Recent Advances in Retinex Theory
Vision Research, 1985It is a cultural commonplace deriving from Newton that the colour of an object we see in the world around us depends on the relative amounts of red light, green light, and blue light coming from that object to our eyes. For a very long time it has been known that the colour of the object when it is part of a general scene will not change markedly with ...
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Assessment of the Wiener–Retinex process
Applied Optics, 2002We assess the performance of the Retinex transformation, the Wiener restoration, and the combined Wiener-Retinex process in the context of the end-to-end model of color visual-communication channels for near-surface acquisition. We extend the formulations of panchromatic imaging for the nonlinear Retinex transformation and the linear Wiener and Wiener ...
Rachel, Alter-Gartenberg +2 more
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Frankle-McCann Retinex by Shuffling
2012In this paper, our aim is to present an alternative to the ratio-product term of Frankle-McCann Retinex by manipulating shifting directions and the number of iterations, which is a major obstacle in applications, keeping the quality of the result images.
Dong-Guk Hwang +3 more
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Towards hardware-friendly retinex algorithms
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017Retinex theory was among the first to introduce a model for simultaneous brightness adjustment and removal of illumination influence on image colors by supposedly emulating some aspects of the human visual system's behaviour. The main idea of most Retinex methods is to readjust color channel values of individual pixels with respect to their local white
Nikola Banic, Sven Loncaric
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Retinex by Two Bilateral Filters
2005Retinex theory deals with the removal of unfavorable illumination effects from images. This ill-posed inverse problem is typically regularized by forcing spatial smoothness on the recoverable illumination. Recent work in this field suggested exploiting the knowledge that the illumination image bounds the image from above, and the fact that the ...
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Color Equalization and Retinex
2015Color and illumination are two principal factors that influence human visual perception as well as imaging devices. However, an imaging device can neither discern colors nor adapt to different imaging environments as a human does. Consequently, it may produce images having a bad visual effect under a bad imaging environment.
Liqian Wang, Liang Xiao, Zhihui Wei
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