Color Image Enhancement Using A Retinex-Based Adaptive Filter

Meylan, Laurence; Süsstrunk, Sabine

doi:10.2352/cgiv.2004.2.1.art00071

Cited by 17 publications

References 13 publications

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Retinex Algorithms

2011

The Art and Science of HDR Imaging

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Following Land and McCann's first proposal of the Retinex theory, numerous Retinex algorithms that differ considerably both algorithmically and functionally have been developed. We clarify the relationships among various Retinex families by associating their spatial processing structures to the neural organizations in the retina and the primary visual cortex in the brain. Some of the Retinex algorithms have a retina-like processing structure (Land's designator idea and NASA Retinex), and some show a close connection with the cortical structures in the primary visual area of the brain (two-dimensional L&M Retinex). A third group of Retinexes (the variational Retinex) manifests an explicit algorithmic relation to Wilson-Cowan's physiological model. We intend to overview these three groups of Retinexes with the frame of reference in the biological visual mechanisms. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Retinex Algorithms

2011

The Art and Science of HDR Imaging

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Trilateral Filtering-Based Retinex for Image Enhancement

Yang

Zeng

et al. 2012

Artificial Intelligence and Computational Intelligence

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Generation of high dynamic range illumination from a single image for the enhancement of undesirably illuminated images

Park

Soh

Cho

2019

Multimed Tools Appl

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This paper presents an algorithm that enhances undesirably illuminated images by generating and fusing multi-level illuminations from a single image. The input image is first decomposed into illumination and reflectance components by using an edge-preserving smoothing filter. Then the reflectance component is scaled up to improve the image details in bright areas. The illumination component is scaled up and down to generate several illumination images that correspond to certain camera exposure values different from the original. The virtual multi-exposure illuminations are blended into an enhanced illumination, where we also propose a method to generate appropriate weight maps for the tone fusion. Finally, an enhanced image is obtained by multiplying the equalized illumination and enhanced reflectance. Experiments show that the proposed algorithm produces visually pleasing output and also yields comparable objective results to the conventional enhancement methods, while requiring modest computational loads.

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Color Image Enhancement Using A Retinex-Based Adaptive Filter

Cited by 17 publications

References 13 publications

Retinex Algorithms

Retinex Algorithms

Trilateral Filtering-Based Retinex for Image Enhancement

Generation of high dynamic range illumination from a single image for the enhancement of undesirably illuminated images

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