Color Image Histogram Equalization
Color Image Histogram Equalization: Split a color image into red, green, and blue channels, apply histogram equalization independently to each channel, then merge the three processed channels to achieve overall image enhancement. In code implementations, this typically involves using channel separation functions (like cv2.split()), applying histogram equalization algorithms to each channel matrix, and merging results (using cv2.merge()).