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Proceedings ArticleDOI

Color image enhancement using retinex with robust envelope

Chih-Tsung Shen, +1 more
- pp 3105-3108
TLDR
A color image enhancement method that uses retinex with a robust envelope to improve the visual appearance of an image and yields a better (almost hallow-free) performance than traditional image enhancement methods.
Abstract
In this paper, we propose a color image enhancement method that uses retinex with a robust envelope to improve the visual appearance of an image. The word “retinex” is hybird “retina” and “cortex”, suggesting that human visual perception is involved in this color image enhancement. To avoid the gray-world violation, a color-shifting problem, an input RGB color image is transformed into an HVS color image, but only the V component is enhanced. Furthermore, to prevent hallow artifacts, we construct a robust envelope with a gradient-dependent weighting to limit disturbances around intensity gaps such as edges and corners. Our experiment results show that the proposed method yields a better (almost hallow-free) performance than traditional image enhancement methods.

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Citations
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Journal ArticleDOI

An Experiment-Based Review of Low-Light Image Enhancement Methods

TL;DR: A new classification of the main techniques of low-light image enhancement developed over the past decades is presented, dividing them into seven categories: gray transformation methods, histogram equalization methods, Retinex methods, frequency-domain methods, image fusion methods, defogging model methods and machine learning methods.
Journal ArticleDOI

Image contrast enhancement using an artificial bee colony algorithm

TL;DR: A parametric image transformation function is utilized in this paper so that only the optimal parameters used in the transformation function need to be searched by the ABC algorithm, which outperforms conventional ABC-based image enhancement approaches.
Journal ArticleDOI

Naturalness Preserved Nonuniform Illumination Estimation for Image Enhancement Based on Retinex

TL;DR: A naturalness preserved illumination estimation algorithm based on the proposed joint edge-preserving filter which exploits all the constraints into the consideration and can achieve the adaptive smoothness of illumination beyond edges and ensure the range of the estimated illumination.
Journal ArticleDOI

Biologically inspired image enhancement based on Retinex

TL;DR: A learning strategy to select the optimal parameters of the nonlinear stretching by optimizing a novel image quality measurement, named as the Modified Contrast-Naturalness-Colorfulness (MCNC) function, which employs a more effective objective criterion and can better agree with human visual perception.
Journal ArticleDOI

Contrast Enhancement by Nonlinear Diffusion Filtering

TL;DR: The proposed estimation method has the following two merits: 1) the boundary areas are preserved in the illumination, and thus halo artifacts are prevented and 2) the textural details are preservedIn the reflectance to not suffer from illumination compression, which contributes to the contrast enhancement in the result.
References
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Journal ArticleDOI

Lightness and Retinex Theory

TL;DR: The mathematics of a lightness scheme that generates lightness numbers, the biologic correlate of reflectance, independent of the flux from objects is described.
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

A Variational Framework for Retinex

TL;DR: A variational model for the Retinex problem that unifies previous methods and shows that the illumination estimation problem can be formulated as a Quadratic Programming optimization problem.
Book ChapterDOI

Retinex by two bilateral filters

TL;DR: This result stands as a theoretic justification and refinement for the recently proposed heuristic use of the bilateral filter for retinex by Durand and Dorsey and shows that similar speedup methods apply to the algorithm.
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