A Comparative Study of Different Histogram Equalization Algorithm for Contrast Enhancement

Abhishek Chandra Gangwar; Prof. SURESH L. BHARVAD

CALL FOR PAPERS : Oct-2023

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25-Oct-23

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A Comparative Study of Different Histogram Equalization Algorithm for Contrast Enhancement

Author(s):

Abhishek Chandra Gangwar , L.D.COLLEGE OF ENGINEERING , AHMEDABAD; Prof. SURESH L. BHARVAD, L.D.COLLEGE OF ENGINEERING

Keywords:

BBHE, Histogram Equalization, Image Decomposition, MMBEBHE, TV L1

Abstract:

One of the common method used for contrast enhancement (CE) is histogram equalization (HE).this method is used for maximised the contrast of images and to get more information. By this adjustment, the intensities can be better distributed on the histogram. The basic disadvantage of HE is that it can change the mean values of the image which affect the brightness of the image, sometimes it also introduces over enhancement and saturation effect. To overcome this various HE algorithm have been introduce to overcome these drawbacks. In this paper, we present different methods for image enhancement that is constructed to minimized the intensity saturation effects that are introduced by standard contrast enhancement (CE) methods based on histogram equalization. Like Brightness Preserving Bi-Histogram Equalization (BBHE), Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE), Texture Enhanced He Using TV L1 Image Decomposition.