A Fractional Differential Approach to Low Contrast Image Enhancement

نویسندگان

  • CHEN Qing-li
  • HUANG Guo
  • ZHANG Xiu-qiong
  • Yi Wan
چکیده

In order to improve the image contrast, a 2-D isotropic fractional differential algorithm for contrast enhancement is constructed, and its structure and parameters on 8 directions are presented. This nonlinear filter algorithm is implemented on various low-contrast digital images and the contrast enhancement of image is controlled by fractional order. The capability of fractional differential mask for contrast enhancement is dicussed. The Experiments and analysis show that the proposed method has excellent feedback for enhancing contrast of dark images, it enhances edge information effectively and reveals more detailed information than HE and SSR method for low-contrast images.

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تاریخ انتشار 2012