EX NO : 06

DATE : 12.05.2022

Implementation-of-Filters

Aim:

To implement filters for smoothing and sharpening the images in the spatial domain.

Software Required:

Anaconda - Python 3.7

ALGORITHM:

Step 1:

Import the necessary modules.

Step 2:

Perform smoothing operation on a image.

Average filter
Weighted average filter
Gaussian Blur
Median filter

Step 3:

Perform sharpening on a image.

Laplacian Kernel
Laplacian Operator

Step 4:

Display all the images with their respective filters.

Program:

Developed By : Aishree Ramesh

Register Number: 212220230003

import cv2
import matplotlib.pyplot as plt
import numpy as np
image1=cv2.imread("simp.jpg")
image2=cv2.cvtColor(image1,cv2.COLOR_BGR2RGB)

1. Smoothing Filters

i) Using Averaging Filter

kernel=np.ones((11,11),np.float32)/121
image3=cv2.filter2D(image2,-1,kernel)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(image2)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(image3)
plt.title("Average Filter Image")
plt.axis("off")
plt.show()

ii) Using Weighted Averaging Filter

kernel1=np.array([[1,2,1],[2,4,2],[1,2,1]])/16
image3=cv2.filter2D(image2,-1,kernel1)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(image2)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(image3)
plt.title("Weighted Average Filter Image")
plt.axis("off")
plt.show()

iii) Using Gaussian Filter

gaussian_blur=cv2.GaussianBlur(image2,(33,33),0,0)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(image2)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(gaussian_blur)
plt.title("Gaussian Blur")
plt.axis("off")
plt.show()

iv) Using Median Filter

median=cv2.medianBlur(image2,13)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(image2)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(gaussian_blur)
plt.title("Median Blur")
plt.axis("off")
plt.show()

2. Sharpening Filters

i) Using Laplacian Kernal

kernel2=np.array([[-1,-1,-1],[2,-2,1],[2,1,-1]])
image3=cv2.filter2D(image2,-1,kernel2)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(image2)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(image3)
plt.title("Laplacian Kernel")
plt.axis("off")
plt.show()

ii) Using Laplacian Operator

laplacian=cv2.Laplacian(image2,cv2.CV_64F)
plt.figure(figsize=(8,8))
plt.subplot(1,2,1)
plt.imshow(image2)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(laplacian)
plt.title("Laplacian Operator")
plt.axis("off")
plt.show()

OUTPUT: