Implementation of Texture Enhance Histogram Equalization for Colour Images

Abhishek Chandra Gangwar; Prof. SURESH L. BHARVAD

CALL FOR PAPERS : Apr-2024

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25-Apr-24

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Implementation of Texture Enhance Histogram Equalization for Colour Images

Author(s):

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

Keywords:

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

Abstract:

For the contrast enhancement in the image processing histogram transformation is widely used. One of the applications of the histogram transform is Histogram Equalization (HE) which will change the brightness of input image. With the Global Histogram Equalization (GHE) the mean brightness of the image will not be preserved, so to overcome this Brightness Preserving Bi-Histogram Equalization (BBHE) and Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE) but to overcome the over enhancement and intensity saturation effect new vibrational algorithm will introduce in which first we divide the image into two parts i.e. cartoon and texture by using Total Variational (TV) method with L1 norm. And with the help of texture information we transform the histogram of the image. And we see that we get more information in term of entropy as compared to other HE algorithms.