main.py

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

def denoise_image(image_path):
    noisy_image=cv2.imread(image_path)
    noisy_image_rgb=cv2.cvtColor(noisy_image, cv2.COLOR_BGR2RGB)

    gaussian_denoised_img=cv2.GaussianBlur(noisy_image, ksize=(5,5), sigmaX=0)
    gaussian_denoised_img_rgb=cv2.cvtColor(gaussian_denoised_img, cv2.COLOR_BGR2RGB)

    median_denoised_img=cv2.medianBlur(noisy_image, ksize=5)
    median_denoised_img_rgb=cv2.cvtColor(median_denoised_img, cv2.COLOR_BGR2RGB)

    bilateral_denoised_img=cv2.bilateralFilter(noisy_image, d=9, sigmaColor=75, sigmaSpace=75)
    bilateral_denoised_img_rgb=cv2.cvtColor(bilateral_denoised_img, cv2.COLOR_BGR2RGB)

    plt.figure(figsize=(15,10))
    plt.subplot(2,2,1)
    plt.title('Noisy Image')
    plt.imshow(noisy_image_rgb)
    plt.axis('off')

    plt.subplot(2,2,2)
    plt.title('Gaussian Blur Image')
    plt.imshow(gaussian_denoised_img_rgb)
    plt.axis('off')

    plt.subplot(2,2,3)
    plt.title('Median Blur Image')
    plt.imshow(median_denoised_img_rgb)
    plt.axis('off')

    plt.subplot(2,2,4)
    plt.title('Bilateral Filter Image')
    plt.imshow(bilateral_denoised_img_rgb)
    plt.axis('off')

    plt.show()

denoise_image('download (1).jpg')