Image Filtering.py

#importing the required libraries 
import numpy as np 
import cv2 
import matplotlib.pyplot as plt 
%matplotlib inline 
image = cv2.imread('index.png') 
#using the averaging kernel for image smoothening 
averaging_kernel = np.ones((3,3),np.float32)/9 
filtered_image = cv2.filter2D(image,-1,kernel) 
plt.imshow(dst) 
#get a one dimensional Gaussian Kernel 
gaussian_kernel_x = cv2.getGaussianKernel(5,1) 
gaussian_kernel_y = cv2.getGaussianKernel(5,1) 
#converting to two dimensional kernel using matrix multiplication 
gaussian_kernel = gaussian_kernel_x * gaussian_kernel_y.T 
#you can also use cv2.GaussianBLurring(image,(shape of kernel),standard deviation) instead of cv2.filter2D 
filtered_image = cv2.filter2D(image,-1,gaussian_kernel) 
plt.imshow()