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A Fast Image Enhancement Algorithm Using Bright Channel

  • Long Chen
  • Wei Sun
  • Jiaxing Feng
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 298)

Abstract

After summarizing the poor-illumination image enhancement methods and analyzing the shortcomings of the currently well-performed multi-scale Retinex algorithm, this paper proposed a new image speedy algorithm with detailed illumination component information. It combined illumination imaging model with target reflection features on RGB color channel, raised a new bright channel concept, and obtained computation method of illumination components by analysis. Then, illumination components were gained precisely through image bright channel gray-scale close computation and fast joint bilateral filtering. Consequently, target reflection components on RGB channel could be solved by illumination/reflection imaging model. The proposed algorithm can get excellent edge details through simple and quick computation. After being removed from the illuminative effects, the images gained are natural-colored, highly visible, and with no halo artifacts. This paper also resolved color casting problem. Compared with NASA method based on multi-scale Retinex, the proposed algorithm improved computation speed, received vivid colors and natural enhancement result.

Keywords

image enhancement Retinex algorithm bright channel joint bilateral filtering 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Xi’an Research Institute of China Coal Technology & Engineering Group CorpXi’anChina
  2. 2.Xidian UniversityXi’anChina

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