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Yang, Z.Z., Zhou, J.L., Yan, X.Y., et al. (2008) Image Enhancement Based on Fractional Differentials. Journal of Computer-Aided Design and Computer Graphics, 20, 343-348.

has been cited by the following article:

• TITLE: An Image Enhancement Method Based on Fractional Calculus and Retinex

  AUTHORS: Jingang Cao

  KEYWORDS: Fractional Calculus, Retinex, Guided Filter, Image Enhancement

  JOURNAL NAME: Journal of Computer and Communications, Vol.6 No.11, November 14, 2018

  ABSTRACT: In order to resolve the problem of the image degradation, an image enhancement method based on fractional calculus and Retinex is proposed, which can preserve or enhance texture information and remove the noise of images. The fractional differential is used to preprocess the input image to enhance texture information, and using guided filter to estimate the illumination component, so it has less halo phenomena. The reflection component, obtained according to the Retinex theory, is denoised by fractional integral to remove the noises. The image is equalized by the contrast limited adaptive histogram equalization to improve the image contrast, and a final enhanced image is obtained. The experimental results show that the method can effectively achieve image enhancement, and the enhanced image has better visual effects.