import numpy as np
import cv2
import scipy.signal
def convert_2d(r):
n = 3
kernel = np.ones((n, n)) / n ** 2
s = scipy.signal.convolve2d(r,kernel,mode='same',boundary='symm')
return s.astype(np.uint8)
def convert_3d(r):
s_dsplit = []
for d in range(r.shape[2]):
rr = r[:,:,d]
ss = convert_2d(rr)
s_dsplit.append(ss)
s = np.dstack(s_dsplit)
return s
im = cv2.imread('tetet.jpg')
im_converted_mat = convert_3d(im)
cv2.imshow('original',im)
cv2.imshow('mean',im_converted_mat)
cv2.imwrite('mean.jpg',im_converted_mat)
cv2.waitKey()