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Detail: Analysis of the image histogram equalization enhancement algorithm in the loss of information inherent mechanism, proposed amendments based on adaptive local gray histogram equalization algorithm. First of all, the image for conventional histogram equalization, and then compare the image and the original image after processing the gradient changes as a basis for local image gray-level correction, thereby reducing the histogram equalization process in the extent of information loss, and finally Experimental results show the effectiveness of the algorithm.

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