基于形态学的权重自适应图像去噪代码及数据

clc; clear all; close all; filename = fullfile(pwd, 'images/im.jpg'); Img = imread(filename); if ndims(Img) == 3 I = rgb2gray(Img); else I = Img; end Ig = imnoise(I,'poisson'); s = GetStrelList(); e = ErodeList(Ig, s); f = GetRateList(Ig, e); Igo = GetRemoveResult(f, e); figure; subplot(1, 2, 1); imshow(I, []); title('原图像'); subplot(1, 2, 2); imshow(Ig, []); title('噪声图像'); figure; subplot(2, 2, 1); imshow(e.eroded_co12, []); title('串联1处理结果'); subplot(2, 2, 2); imshow(e.eroded_co22, []); title('串联2处理结果'); subplot(2, 2, 3); imshow(e.eroded_co32, []); title('串联3处理结果'); subplot(2, 2, 4); imshow(e.eroded_co42, []); title('串联4处理结果'); figure; subplot(1, 2, 1); imshow(Ig, []); title('噪声图像'); subplot(1, 2, 2); imshow(Igo, []); title('并联去噪图像'); psnr1 = PSNR(I, e.eroded_co12); psnr2 = PSNR(I, e.eroded_co22); psnr3 = PSNR(I, e.eroded_co32); psnr4 = PSNR(I, e.eroded_co42); psnr5 = PSNR(I, Igo); psnr_list = [psnr1 psnr2 psnr3 psnr4 psnr5]; figure; plot(1:5, psnr_list, 'r+-'); axis([0 6 18 24]); set(gca, 'XTick', 0:6, 'XTickLabel', {'', '串联1', '串联2', '串联3', ... '串联4', '并联', ''}); grid on; title('PSNR曲线比较');