Anti-Distortion Image Contrast Enhancement Algorithm Based on Fuzzy Statistical Analysis of the Histogram Equalization

Abstract

In order to solve such problems as excessive enhancement and noise amplification of histogram equalization, an anti-distortion image contrast enhancement algorithm based on fuzzy statistics and sub-histogram equalization is proposed in this article on the basis of the fuzzy set theory and the histogram division thought. Firstly, the fuzzy histogram calculation model is constructed according to the fuzzy statistical property of the initial image, the membership function and the probability of the image gradation in order to obtain smoother histogram and significantly improve image color contents, brightness, etc.; then, the fuzzy histogram is divided into two sub-histograms, and the corresponding cumulative density functions are defined, and the transformation models thereof are also constructed for independent sub-histogram equalization. The experiment result has verified the feasibility and the advantages of the algorithm proposed in this article.