[image denoising] matlab code for removing salt and pepper noise based on fast and effective multistage selective convolution filter

1 brief introduction

​ In the process of image smoothing , How to filter the noise and protect the details of the image is a research hotspot . This paper presents and designs a fast and efficient multistage selective convolution filter . Experiments show that this filter is better than median filter or morphological filter alone in removing salt and pepper noise , The probability of salt and pepper noise exceeds 0.2 Time advantage is particularly obvious .

2 Part of the code

clc

clear

close all

noise_density = 0.1;

l = 5; %The number of blocks

image = imread('Lena.png');

noisy_image = imnoise(image, 'salt & pepper', noise_density);

tic

restored_image = MSCF(noisy_image, l);

Times = toc;

PSNRs = psnr(restored_image, image);

MSEs = immse(restored_image, image);

IEFs = immse(noisy_image, image)/immse(restored_image, image);

SSIMs = ssim(restored_image, image);

figure

subplot(131)

imshow(image);title(' Original picture ')

subplot(132)

imshow(noisy_image);;title(' Add salt and pepper noise diagram ')

subplot(133)

imshow(restored_image);title(' De noise map ')

3 Simulation results

4 reference

[1] Li Xiaohong , Jiang Jianguo , Wucongzhong , etc. . Research on filter for removing salt and pepper noise in image [J]. Journal of engineering graphics , 2009, 30(6):8.

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