Blurroperations.py

#Managing the imports
import cv2
import numpy as np

#reading a image from computer and taking dimensions
img = cv2.imread('noisy.jpg')
rows, cols = img.shape[:2]

#Kernel Blurring using filter2D()
kernel_25 = np.ones((25,25), np.float32) / 625.0
output_kernel = cv2.filter2D(img, -1, kernel_25)

#Boxfilter and blur function blurring
output_blur = cv2.blur(img, (25,25))
output_box = cv2.boxFilter(img, -1, (5,5), normalize=False)

#gaussian Blur 
output_gaus = cv2.GaussianBlur(img, (5,5), 0)

#median Bur (reduction of noise)
output_med = cv2.medianBlur(img, 5)

#Bilateral filtering (Reduction of noise + Preserving of edges)

output_bil = cv2.bilateralFilter(img, 5, 6, 6)

cv2.imshow('kernel blur', output_kernel)
cv2.imshow('Blur() output', output_blur)
cv2.imshow('Box filter', output_box)
cv2.imshow('Gaussian', output_gaus)
cv2.imshow('Bilateral', output_bil)
cv2.imshow('Median Blur', output_med)
cv2.imshow('Original', img)
cv2.waitKey(0)