Histogram equalization is a non-linear process. Channel splitting and equalizing each channel separately is not the proper way for equalization of contrast. Equalization involves Intensity values of the image not the color components. So for a simple RGB color image, HE should not be applied individually on each channel. Rather, it should be applied such … Read more
Source : https://www.packtpub.com/packtlib/book/Application-Development/9781785283932/2/ch02lvl1sec26/Enhancing%20the%20contrast%20in%20an%20image import cv2 import numpy as np img = cv2.imread(‘input.jpg’) img_yuv = cv2.cvtColor(img, cv2.COLOR_BGR2YUV) # equalize the histogram of the Y channel img_yuv[:,:,0] = cv2.equalizeHist(img_yuv[:,:,0]) # convert the YUV image back to RGB format img_output = cv2.cvtColor(img_yuv, cv2.COLOR_YUV2BGR) cv2.imshow(‘Color input image’, img) cv2.imshow(‘Histogram equalized’, img_output) cv2.waitKey(0) ~edit: original link is no longer available, … Read more