12_smoothing_images.py

import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt

############################ 2D convolution #########################

# img = cv.imread('OpenCV_Logo.png')
# kernel = np.ones((5,5),np.float32)/25


# dst = cv.filter2D(img, -1, kernel)

# plt.subplot(121),plt.imshow(img),plt.title('Original')
# plt.xticks([]), plt.yticks([])
# plt.subplot(122),plt.imshow(dst),plt.title('Averaging')
# plt.xticks([]), plt.yticks([])
# plt.show()

# cv.waitKey(0)
# cv.destroyAllWindows()

############################### Image Blurring ###############################

########### Averaging ###########

img = cv.imread('OpenCV_Logo.png')

# blur = cv.blur(img,(5,5))
# blur = cv.GaussianBlur(img, (5,5), 0)
# blur = cv.medianBlur(img, 5)

blur = cv.bilateralFilter(img, 9, 75, 75)

plt.subplot(121),plt.imshow(img),plt.title('Original')
plt.xticks([]), plt.yticks([])
plt.subplot(122),plt.imshow(blur),plt.title('Blurred')
plt.xticks([]), plt.yticks([])
plt.show()