A COMPREHENSIVE REVIEW AND FUSION OF HISTOGRAM EQUILIZATION TECHNIQUES FOR IMAGE ENHANCEMENT

Abstract

Histogram equalization is a widely used and popular technique for improving contrast of digital image. Such technique can lead to over-enhancement, sometimes the details of the image may be lost. Therefore in our approach we try to overcome the above given drawback of histogram equalization. We introduce an algorithm which is a novel combination of three techniques such as adaptive histogram equalization, block-based histogram equalization and brightness-preserving dynamic histogram equalization. Besides, pre-processing and post-processing are included in our algorithm to further improve the image. Many techniques are available in literature to Equalize Histograms as explained in initial paragraphs. In this paper we compare our suggested technique to the prevailing ones. We show that suggested technique provide better contrast enhancement, details of image are preserved in comparison to the other Histogram Equalization Techniques. The visual quality of image enhanced by suggested technique is also high as compared to the prevailing techniques. The suggested technique is computation efficient and can be applied in real time applications. The proposed algorithm is described below along with implementation details, parameters, optimization. The algorithm shows the potential of providing great benefit to the different application area of image processing, such as image enhancement, surveillance system and satellite image.