restorer.py

import cv2 as cv
import numpy as np

img = cv.imread('excited.jpg',0)
kernel = np.ones((13,13),np.uint8)
top_hat = cv.morphologyEx(img, cv.MORPH_TOPHAT, kernel)
backtorgb = cv.cvtColor(top_hat,cv.COLOR_GRAY2RGB)

l, a, b = cv.split(backtorgb)
# cv.imwrite('l_channel.jpg', l)
# cv.imwrite('a_channel.jpg', a)
# cv.imwrite('b_channel.jpg', b)

clahe = cv.createCLAHE(clipLimit=3.0, tileGridSize=(8,8))
cl = clahe.apply(l)
ca = clahe.apply(a)
cb = clahe.apply(b)

limg = cv.merge((cl,ca,cb))
final = cv.cvtColor(limg, cv.COLOR_LAB2BGR)
cv.imwrite('merged.jpg', final)