Tri-histogram Equalization based on first order statistics

This paper proposes a novel method, called statistic-separate tri-histogram equalization (SSTHE), to enhance contrasts of images along with excellent brightness preservation. This method segments the original histogram into three regions according to the mean and standard deviation of the image brightness, re-ranges spans of each sub-histogram and executes histogram equalization within each scope respectively. Experiments show that our method provides better brightness preservation than most bi-HE techniques, and reduces artifacts that a large number of sub-histograms produces. In addition, it is efficient with computation, suitable for consumer electronics.