Natural color image enhancement and evaluation algorithm based on human visual system

  • Authors:

  • Kai-Qi Huang;Qiao Wang;Zhen-Yang Wu

  • Affiliations:

  • National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, PR China;Department of Radio Engineering, Southeast University, Nanjing, PR China;Department of Radio Engineering, Southeast University, Nanjing, PR China

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2006

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Abstract

To a significant degree, multimedia applications derive their effectiveness from the use of color graphics, images, and videos. In these applications, human visual system (HVS) often gives the final evaluation of the processed results. In this paper, we first propose a novel color image enhancement method, which is named HVS Controlled Color Image Enhancement and Evaluation algorithm (HCCIEE algorithm). We then applied the HCCIEE to color image by considering natural image quality metrics. This HCCIEE algorithm is base on multiscale representation of pattern, luminance, and color processing in the HVS. Experiments illustrated that the HCCIEE algorithm can produce distinguished details without ringing or halo artifacts. (These two problems often occur in conventional multiscale enhancement techniques.) As a result, the experimental results appear as similar as possible to the viewers' perception of the actual scenes.