increase_contrast.py

import cv2
import numpy as np

img = cv2.imread('data/test_1_416_0.jpg', 1)
# converting to LAB color space
lab= cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
l_channel, a, b = cv2.split(lab)

# Applying CLAHE to L-channel
# feel free to try different values for the limit and grid size:
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
cl = clahe.apply(l_channel)

# merge the CLAHE enhanced L-channel with the a and b channel
limg = cv2.merge((cl,a,b))

# Converting image from LAB Color model to BGR color spcae
enhanced_img = cv2.cvtColor(limg, cv2.COLOR_LAB2BGR)

# Stacking the original image with the enhanced image
result = np.hstack((img, enhanced_img))
cv2.imshow('Result', result)
cv2.waitKey(0)