matlab2.rar_人类视觉_参考图像_图像质量评价_视觉评价_视觉质量

function bianyuantiqu() clear all; clc; load wbarb; %小波变换边缘提取程序 I = ind2gray(X,map);%检索图转成灰度图 imshow(I); I1 = imadjust(I,stretchlim(I),[0,1]);%调整图像的像素值，可以改变对比度和颜色 figure; imshow(I1); [N,M] = size(I); h = [0.125,0.375,0.375,0.125]; g = [0.5,-0.5]; delta = [1,0,0]; J = 3; a(1:N,1:M,1,1:J+1) = 0; dx(1:N,1:M,1,1:J+1) = 0; dy(1:N,1:M,1,1:J+1) = 0; d(1:N,1:M,1,1:J+1) = 0; a(:,:,1,1) = conv2(h,h,I,'same'); %二维卷积 dx(:,:,1,1) = conv2(delta,g,I,'same'); dy(:,:,1,1) = conv2(g,delta,I,'same'); x = dx(:,:,1,1); y = dy(:,:,1,1); d(:,:,1,1) = sqrt(x.^2+y.^2); I1 = imadjust(d(:,:,1,1),stretchlim(d(:,:,1,1)),[0 1]);figure;imshow(I1); lh = length(h); lg = length(g); for j = 1:J+1 lhj = 2^j*(lh-1)+1; lgj = 2^j*(lg-1)+1; hj(1:lhj)=0; gj(1:lgj)=0; for n = 1:lh hj(2^j*(n-1)+1)=h(n); end for n = 1:lg gj(2^j*(n-1)+1)=g(n); end a(:,:,1,j+1) = conv2(hj,hj,a(:,:,1,j),'same'); dx(:,:,1,j+1) = conv2(delta,gj,a(:,:,1,j),'same'); dy(:,:,1,j+1) = conv2(gj,delta,a(:,:,1,j),'same'); x = dx(:,:,1,j+1); y = dy(:,:,1,j+1); dj(:,:,1,j+1) = sqrt(x.^2+y.^2); I1 = imadjust(dj(:,:,1,j+1),stretchlim(dj(:,:,1,j+1)),[0 1]);figure;imshow(I1); end