Author : S. Dhivya Bharkavi 1
Date of Publication :28th March 2018
Abstract: Histogram Equalization is the most familiar method used in the analysis of contrast and brightness in images. The objective of image enhancement techniques is to process images based on Histogram Equalization so that the result is more suitable than the original image for a specific application. The choice of the technique depends upon the requirement. Histogram equalization method is powerful compared to other methods as it increases the global contrast of many images, especially when the usable data of the image is represented by close contrast values. Through histogram equalization, the intensities can be better spread on the histogram and this allows for areas of lower local contrast to improvement a higher contrast. Various methods have been proposed for limiting the levels of enhancement and most of the enhancement algorithms are based on Histogram Equalization. A comparative study is done on Brightness Preserving System with histogram equalization (BBHE) and Recursive Method of BBHE. Recursive Mean-Separate Histogram Equalization (RMSHE) is another improvement of BBHE. These algorithms clearly state that the Image enhancement using Histogram equalization significantly improve the visual appearance of the image.
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