[image denoising] image denoising based on anisotropic filtering with matlab code

1 brief introduction

Anisotropic diffusion filtering method is adopted , Study the problem of image denoising , By analyzing the influence of diffusion function and diffusion constant on filtering effect , The peak signal-to-noise ratio (PSNR), which is used to judge the compression quality in image compression, is used as the iteration termination condition , While effectively removing image noise , It can keep the edge information of the image from being over filtered .​

2 Part of the code

clear;clcs = phantom(512) + randn(512);num_iter = 15;delta_t = 1/7;kappa = 20;option = 2;ad = anisodiff2D(s,num_iter,delta_t,kappa,option);figure, subplot 121, imshow(s,[]), subplot 122, imshow(ad,[])

3 Simulation results

4 reference

[1] Liuxiaoyan . Adaptive anisotropic diffusion equation based on controllable filter and image denoising [J]. China Science and Technology Expo , 2014(30):1.

[2] Moshaoqiang . Research on image denoising based on anisotropic diffusion filtering [J]. Journal of Inner Mongolia Normal University ： Chinese version of Natural Science , 2017, 46(1):4.

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