Blurring and sharpening images

Blurring and sharpening are image processing operations used to enhance the input images.

How to do it...

1. Import the Computer Vision package - cv2:

import cv2 
# Import Numerical Python package - numpy as np 
import numpy as np 

2. Read the image using the built-in imread function:

image = cv2.imread('image_6.jpg') 

3. Display the original image using the built-in imshow function:

cv2.imshow("Original", image) 

4. Wait until any key is pressed:

cv2.waitKey(0) 

5. Execute the pixel level action with the blurring operation:

# Blurring images: Averaging, cv2.blur built-in function 
# Averaging: Convolving image with normalized box filter 
# Convolution: Mathematical operation on 2 functions which produces third function. 
# Normalized box filter having size 3 x 3 would be: 
# (1/9)  [[1, 1, 1], 
#         [1, 1, 1], 
#         [1, 1, 1]] 
blur = cv2.blur(image,(9,9)) # (9 x 9) filter is used  

6. Display the blurred image:

cv2.imshow('Blurred', blur) 

7. Wait until any key is pressed:

cv2.waitKey...