Image Enhancement Based on Equal Area Dualistic Sub image and Non parametric Modified Histogram Equalization Method
This paper presents a new contrast enhancement method using Histogram Equalization named Dualistc Sub Image and Non parametric Modified Histogram Equalization (DSINMHE) Our proposed method consists of three steps: (i) The original image is segmented into two sub images by the median value of the image. (ii) Then we use the histogram modification technique to maximize entropy and control over enhancement problem. (iii) Two sub images are enhanced by the traditional histogram equalization method independently and then are merged into one output enhanced image. The experimental results show that BPNMBHE is superior to other contrast enhancement methods according to image subjective evaluation and various image objective evaluation measures, i.e. Entropy, AMBE, PSNR, and SSIM.
2016 9th International Symposium on Computational Intelligence and Design (ISCID)