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  • 标题:A Novel Method of Determining Parameters of CLAHE Based on Image Entropy
  • 本地全文:下载
  • 作者:Byong Seok Min ; Dong Kyun Lim ; Seung Jong Kim
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2013
  • 卷号:7
  • 期号:5
  • 页码:113-120
  • 出版社:SERSC
  • 摘要:Histogram equalization, which stretches the dynamic range of intensity, is the most common method for enhancing the contrast of image. Contrast Limited Adaptive Histogram Equalization (CLAHE), proposed by K. Zuierveld, has two key parameters: block size and clip limit. These parameters are mainly used to control image quality, but have been heuristically determined by users. In this paper, we propose a novel method of determining two parameters of the CLAHE using entropy of image. The key idea is based on the characteristics of entropy curves: clip limit vs entropy and block size vs entropy. Clip limit and block size are determined at the point with maximum curvature on entropy curve. Experimental results show that the proposed method improves images with very low contrast
  • 关键词:CLAHE; Contrast limited adaptive histogram equalization; Entropy
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