spiht.rar_SPIHT_SPIHT 图像压缩_图像 峰均比

%%example5_7.m% clc; clear; close all; X = imread('wpeppers.jpg'); %用小波对彩色图像进行压缩,存为文件‘wpeppers.mtc’ %‘spiht’指使用分层树集合划分的压缩方法 [cr,bpp] = wcompress('c',X,'wpeppers.mtc','spiht','maxloop',12); %对‘wpeppers.mtc’解压缩 Xc = wcompress('u','wpeppers.mtc'); delete('wpeppers.wtc'); %保存解压缩文件 imwrite(Xc,'wavePeper.jpg'); subplot(1,2,1); image(X); title('原始图像');axis square; subplot(1,2,2); image(Xc); title('压缩图像');axis square; %计算均方误差MSE（Mean Square Error） D = abs(double(X)-double(Xc)).^2; mse = sum(D(:))/numel(X); %计算峰值信噪比（Peak Signal to Noise Ratio） psnr = 10*log10(255*255/mse);