Color enhancement algorithm for low-quality image based on gamma mapping

Huinan Guo; Gaopeng Zhang; Chao Mei; Derui Zhang; Xiaodong Song

doi:10.1117/12.2202930

3 December 2015 Color enhancement algorithm for low-quality image based on gamma mapping

Huinan Guo, Gaopeng Zhang, Chao Mei, Derui Zhang, Xiaodong Song

Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 97941X (2015) https://doi.org/10.1117/12.2202930
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China

Abstract

Color quality plays an important role in imaging and displaying. For the Low-quality image, we propose a new method in this paper that is based on gamma mapping to improve color contrast and restore color expression of real world scene. The main idea of the proposed approach is that according to human vision characteristics uses logarithm transformation to extend luminance response of image so; meanwhile, adopts the gamma mapping to enhance the contrast of highlight and dark regions. To approve the proposed method, two well-known algorithms are selected and their contrast results are also presented. The results show that the proposed approach performs better than other traditional methods for color restoration which is of good robustness.

Citation Download Citation

Huinan Guo, Gaopeng Zhang, Chao Mei, Derui Zhang, and Xiaodong Song "Color enhancement algorithm for low-quality image based on gamma mapping", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941X (3 December 2015); https://doi.org/10.1117/12.2202930

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KEYWORDS

Image enhancement

Human vision and color perception

Image quality

Associative arrays

Color imaging

Enhanced vision

Image contrast enhancement

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