A solution to the deficiencies of image enhancement

  • Authors:

  • Qiang Chen;Xin Xu;Quansen Sun;Deshen Xia

  • Affiliations:

  • School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China;School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China;School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China;School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China

  • Venue:
  • Signal Processing
  • Year:
  • 2010

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Abstract

Image enhancement can improve the perception of information for human viewers, but there also exist some deficiencies in most image enhancement methods. This paper analyzes the deficiencies and gives a solution to improve image enhancement results-image fusion. In order to overcome the deficiencies well, we present an image fusion method based on a simple and effective evaluation of local contrast. Experimental results demonstrate that image fusion is a feasible solution to the deficiencies of image enhancement, because the deficiencies, like the loss of details, the loss of local contrast and gray-world violation, can be effectively reduced by fusing an enhancement result and an original image.