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Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. Assume that the original image gray level r normalized in between 0 and 1, 0 ≦r ≦1. pr(r) is the probability density function of the original image gray distribution, the histogram equalization processing is actually looking for a gray-scale transformation function T, satisfy S = T (r) by transforming the gray values, in which S normalized to 0 飞网下载站，免费下载共享资料，内容涉及教育资源、专业资料、IT资源、娱乐生活、经济管理、办公文书、游戏资料等。
