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Proceedings ArticleDOI

Multi-scale retinex for color image enhancement

Zia-ur Rahman, +2 more
- Vol. 3, pp 1003-1006
TLDR
A multi-scale retinex (MSR) which overcomes this limitation for most scenes and both color rendition and dynamic range compression are successfully accomplished except for some "pathological" scenes that have very strong spectral characteristics in a single band.
Abstract
The retinex is a human perception-based image processing algorithm which provides color constancy and dynamic range compression. We have previously reported on a single-scale retinex (SSR) and shown that it can either achieve color/lightness rendition or dynamic range compression, but not both simultaneously. We now present a multi-scale retinex (MSR) which overcomes this limitation for most scenes. Both color rendition and dynamic range compression are successfully accomplished except for some "pathological" scenes that have very strong spectral characteristics in a single band.

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Citations
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Journal ArticleDOI

A multiscale retinex for bridging the gap between color images and the human observation of scenes

TL;DR: This paper extends a previously designed single-scale center/surround retinex to a multiscale version that achieves simultaneous dynamic range compression/color consistency/lightness rendition and defines a method of color restoration that corrects for this deficiency at the cost of a modest dilution in color consistency.
Journal ArticleDOI

Single image dehazing

TL;DR: Results demonstrate the new method abilities to remove the haze layer as well as provide a reliable transmission estimate which can be used for additional applications such as image refocusing and novel view synthesis.
Journal ArticleDOI

Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images

TL;DR: Experimental results demonstrate that the proposed enhancement algorithm can not only enhance the details but also preserve the naturalness for non-uniform illumination images.
Journal ArticleDOI

Retinex processing for automatic image enhancement

TL;DR: This work develops the Retinex computation into a full scale automatic image enhancement algorithm—the multiscale RetineX with color restoration (MSRCR)—which com- bines color constancy with local contrast/lightness enhancement to transform digital images into renditions that approach the realism of direct scene observation.
Journal ArticleDOI

Gray and color image contrast enhancement by the curvelet transform

TL;DR: A new method for contrast enhancement based on the curvelet transform is presented, which out-performs other enhancement methods on noisy images, but on noiseless or nearNoiseless images curvelet based enhancement is not remarkably better than wave let based enhancement.
References
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Journal ArticleDOI

A multiscale retinex for bridging the gap between color images and the human observation of scenes

TL;DR: This paper extends a previously designed single-scale center/surround retinex to a multiscale version that achieves simultaneous dynamic range compression/color consistency/lightness rendition and defines a method of color restoration that corrects for this deficiency at the cost of a modest dilution in color consistency.
Journal ArticleDOI

Properties and performance of a center/surround retinex

TL;DR: A practical implementation of the retinex is defined without particular concern for its validity as a model for human lightness and color perception, and the trade-off between rendition and dynamic range compression that is governed by the surround space constant is described.
Journal ArticleDOI

Recent Advances in Retinex Theory

TL;DR: It is shown that the paradox of colour constancy does not really exist because it is not true that the colour of a point on an object is determined by the composition of the light coming from the object.
Journal ArticleDOI

Formal connections between lightness algorithms.

TL;DR: This paper clarifies and formalizes the lightness problem by proposing a new formulation of the intensity equation on which lightness algorithms are based and by identifying and discussing two basic subproblems of lightness and color computation: spatial decomposition and spectral normalization of theintensity signal.
Journal ArticleDOI

A real-time neural system for color constancy

TL;DR: A neural network approach to the problem of color constancy is presented and an electronic system that is based on the original algorithm and that operates at video rates was built using subthreshold analog CMOS VLSI resistive grids.
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