Review Article Open Access

COMPARATIVE ANALYSIS FOR CONTRAST ENHANCEMENT USING HISTOGRAM EQUALIZATION TECHNIQUES

Abstract

Contrast enhancement is basically improving the quality of images for better perception. They are widely used for image and video processing to achieve wider dynamic range. There are two major goals: contrast enhancement and preserving the brightness of the image. This paper presents the parameters comparison and simulation results of various histogram equalization techniques like GHE, BBHE, Novel, BPDHE in terms of Correlation, Peak Signal to Noise Ratio (PSNR), Normalized Absolute Error (NAE) due to which visual quality of the image becomes better.

Jatinder Kaur, Onkar Chand

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