Image enhancement based on multi decomposition dualistic subimage histogram equalization

Abstract EN

There are many algorithms for image contrast enhancement one of these algorithm Histogram Equalization algorithm (HE), but it has some disadvantages, for this reason, there are many techniques for eliminate drawbacks of HE.

The techniques can be classified into global histogram equalization and local histogram equalization.

This paper produce one of global histogram equalization technique based on median, proposed method work to segment image into multi subimage by taking median of image as threshold for segmentation and use weighted model depend on weighted Probability Distribution Function (PDF) of the image for preserving brightness of image of the results of the experiment found that the proposed method achieved better results than the technique compared with it such as (HE, DSIHE, BHE, MMSICHE).

The results of the measurements used for the proposed method (PSNR=85%), (SNR=100%), (AMBE=83%)and (SSIM=98%).