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Proceedings Paper

Color enhancement algorithm for low-quality image based on gamma mapping
Author(s): Huinan Guo; Gaopeng Zhang; Chao Mei; Derui Zhang; Xiaodong Song
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Paper 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.

Paper Details

Date Published: 3 December 2015
PDF: 5 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941X (3 December 2015); doi: 10.1117/12.2202930
Show Author Affiliations
Huinan Guo, Xi'an Institute of Optics and Precision Mechanics (China)
Gaopeng Zhang, Xi'an Institute of Optics and Precision Mechanics (China)
Chao Mei, Xi'an Institute of Optics and Precision Mechanics (China)
Derui Zhang, Xi'an Institute of Optics and Precision Mechanics (China)
Xiaodong Song, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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