Enhanced Dynamic Quadrant Histogram Equalization For Contrast Enhancement In Images

Abstract

Consumer electronic devices require brightness preservation while image enhancement carried out. Many of the histogram equalization techniques have been introduced that tend to strike out the mean image brightness while the process of enhancement is carried out. I suggest a method that enhances an image while keeping its brightness in a better form as compared to the former methods applied. Firstly, based on median value, the input image histogram is divided into sub-histogram and this process reprises until I have derived 8 sub-histograms. Further, the clipping of the histogram is implemented based on the average pixels in each sub-histogram. Then, each sub-histogram is assigned with a new dynamic range and finally customary histogram equalization is done independently on each sub-histogram.In the thesis work, proposed method is tested against conventional methods and results indicate that image mean brightness is preserved better than other methods while enhancing the image. The proposed method keep the brightness save of the original image while during the enhancement of the images.