Short simple image processing script to automatically adjust brightness and contrast of input image

clahe_correction.py

import cv2
import sys
import imutils

#-----Reading the image-----------------------------------------------------
img = cv2.imread('1.jpg')
#img = imutils.resize(img, width=400)
#cv2.imshow("img",img) 

#-----Converting image to LAB Color model----------------------------------- 
lab= cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
#cv2.imshow("lab",lab)

#-----Splitting the LAB image to different channels-------------------------
l, a, b = cv2.split(lab)
#cv2.imshow('l_channel', l)
#cv2.imshow('a_channel', a)
#cv2.imshow('b_channel', b)

#-----Applying CLAHE to L-channel-------------------------------------------
clahe = cv2.createCLAHE(clipLimit=3.0, tileGridSize=(8,8))
cl = clahe.apply(l)
#cv2.imshow('CLAHE output', cl)

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

#-----Converting image from LAB Color model to RGB model--------------------
final = cv2.cvtColor(limg, cv2.COLOR_LAB2BGR)
cv2.imwrite('output.jpg', final)
#cv2.imshow('final', final)