Image contrast enhancement method based on traversal optimization

The invention relates to an image contrast enhancement method based on traversal optimization. The image contrast enhancement method comprises the steps of performing mean normalization processing onan image histogram; traversing a truncation threshold value according to the obtained histogram, carr...

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Bibliographic Details
Main Authors DAI SHENGKUI, WANG ZIYU, ZHU YIMING, GAO JIANPING
Format Patent
LanguageChinese
English
Published 15.05.2020
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Summary:The invention relates to an image contrast enhancement method based on traversal optimization. The image contrast enhancement method comprises the steps of performing mean normalization processing onan image histogram; traversing a truncation threshold value according to the obtained histogram, carrying out truncation equalization processing, then carrying out histogram equalization, and carryingout calculation to obtain statistical parameters of the histogram; solving an optimal threshold value according to the optimization model in combination with statistical parameters, and performing truncation and equalization processing; performing post-processing on the histogram data; carrying out histogram equalization and image output. The method can solve the problems of insufficient contrast, insufficient overall brightness or overexposure and the like of part of images, and improves the image contrast. 本发明涉及一种基于遍历寻优的图像对比度增强方法,包括:对图像直方图进行均值归一化处理;根据得到的直方图对截断阈值进行遍历并进行截断均分处理,然后进行直方图均衡并计算得到直方图的统计参数;根据优化模型结合统计参数求解最优阈值
Bibliography:Application Number: CN201911282511