import numpy as np
import cv2
from scipy import ndimage

k33=np.array([[-1,-1,-1],
              [-1,8,-1],
              [-1,-1,-1]])



k33d=np.array([[1,1,1],
              [1,-8,1],
              [1,1,1]])


img=cv2.imread('psu.jpeg',0)
lg=cv2.GaussianBlur(img,(11,11),0)



gg=img-lg

#cv2.imwrite('gauss', gg)
cv2.imshow('test',gg)
cv2.waitKey()
cv2.imwrite('gauss', gg)