Histogram partition based gamma correction for image contrast enhancement

This paper presents an adaptive image contrast enhancement method. The proposed method is based on a local gamma correction piloted by histogram analysis. First, the image histogram is partitioned based on the local minima and the mean gray-level of each partition is calculated. Then, gamma correction is performed using the resulted mean gray-levels. By analyzing the partitioned histograms, the parameters are automatically adjusted. Experimental results show that both good contrast enhancement performance and image brightness preservation can be achieved by the proposed method.