Description: In order to improve the histogram balanced to the low gradation level dense distribution image processing effect, through analysis image histogram isostatic theory to identical gradation picture element after processing maps theory flaw which the identical gradation in the process exists, proposed one kind highly effective, the auto-adapted algorithm. This algorithm first carries on conventional to the image the histogram equalization treatment, the gamma controller which then after processing forms in a great density latitude to carry on the mapping, guaranteed after the transformation the image has the great gradation dynamirange, finally carries on the suitable brightness revision to the result, guaranteed that the transformation image whole has the high contrast gradient, is advantageous for the observation image the detail. Proved through the experiment, after the improvement algorithm may improve the histogram equalization treatment low gradation level dense distribution image ob
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- [enhance2] - regional adaptive histogram equalization
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自适应图像直方图均衡算法.pdf
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