A solution to the deficiencies of image enhancement

作者：Chen Qiang^*; Xu Xin; Sun Quansen; Xia Deshen

来源：Signal Processing, 2010, 90(1): 44-56.

DOI：10.1016/j.sigpro.2009.05.015

• Image enhancement
• Image fusion
• Detail loss
• Contrast loss
• Gray-world violation

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.

• 出版日期2010-1
• 单位南京理工大学