作业帮matlab 图像压缩问题clearInitialImage=imread('lena.bmp');%rat=4;InitialImage=double(InitialImage)/255;% figure(1);imshow(InitialImage);%T=dctmtx(8);DCTCoe=blkproc(InitialImage,[8 8],'P1*x*P2',T ,T');%CoeVar=im2col(DCTCoe,[8 8],'distinct');Coe=Co
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![matlab 图像压缩问题clearInitialImage=imread('lena.bmp');%rat=4;InitialImage=double(InitialImage)/255;% figure(1);imshow(InitialImage);%T=dctmtx(8);DCTCoe=blkproc(InitialImage,[8 8],'P1*x*P2',T ,T');%CoeVar=im2col(DCTCoe,[8 8],'distinct');Coe=Co](/uploads/image/z/14128057-1-7.jpg?t=matlab+%E5%9B%BE%E5%83%8F%E5%8E%8B%E7%BC%A9%E9%97%AE%E9%A2%98clearInitialImage%3Dimread%28%27lena.bmp%27%29%3B%25rat%3D4%3BInitialImage%3Ddouble%28InitialImage%29%2F255%3B%25+figure%281%29%3Bimshow%28InitialImage%29%3B%25T%3Ddctmtx%288%29%3BDCTCoe%3Dblkproc%28InitialImage%2C%5B8+8%5D%2C%27P1%2Ax%2AP2%27%2CT+%2CT%27%29%3B%25CoeVar%3Dim2col%28DCTCoe%2C%5B8+8%5D%2C%27distinct%27%29%3BCoe%3DCo)
matlab 图像压缩问题clearInitialImage=imread('lena.bmp');%rat=4;InitialImage=double(InitialImage)/255;% figure(1);imshow(InitialImage);%T=dctmtx(8);DCTCoe=blkproc(InitialImage,[8 8],'P1*x*P2',T ,T');%CoeVar=im2col(DCTCoe,[8 8],'distinct');Coe=Co
matlab 图像压缩问题
clear
InitialImage=imread('lena.bmp');
%
rat=4;
InitialImage=double(InitialImage)/255;
%
figure(1);
imshow(InitialImage);
%
T=dctmtx(8);
DCTCoe=blkproc(InitialImage,[8 8],'P1*x*P2',T ,T');
%
CoeVar=im2col(DCTCoe,[8 8],'distinct');
Coe=CoeVar;
%
[Y,Ind]=sort(CoeVar);
%
[m,n]=size(CoeVar);
Snum=64-64*rat;
for i=1:n
Coe(Ind(1:Snum),i)=0;
end
%
B2=col2im(Coe,[8 8],[256 256],'distinct');
%
I2=blkproc(B2,[8 8],'P1*x*P2',T',T);
%
figure(4);
imshow(I2);
% 计算归一化图像的均方误差
error=InitialImage.^2-I2.^2;
MSE=sum(error(:))/prod(size(I2))
%---------------------------------------------------------以下是错误
Error in ==> blkproc at 89
aa(border(1)+(1:ma),border(2)+(1:na)) = a;
Error in ==> DCTencode at 12
DCTCoe=blkproc(InitialImage,[8 8],'P1*x*P2',T,T');仅出现一张图片
matlab 图像压缩问题clearInitialImage=imread('lena.bmp');%rat=4;InitialImage=double(InitialImage)/255;% figure(1);imshow(InitialImage);%T=dctmtx(8);DCTCoe=blkproc(InitialImage,[8 8],'P1*x*P2',T ,T');%CoeVar=im2col(DCTCoe,[8 8],'distinct');Coe=Co
通常进行小波压缩重构后的图像是与原图像相同尺寸的,除非你将其它高频系数都删去不用.压缩后的图像如果是xcomp的话,直接用size就行了吧.
据我所知xcomp应该不是重构后的图像,只是去噪后的图像,还得进行重构才能得到真正重构的图像.
那可能是我孤陋寡闻了,不过要评价是否被压缩了不是看图像的大小变了没有,而是看压缩后的图像占多少空间,即所占字节数,与原图所占空间相比,这样可以算出被压缩了多少了
那这样的话我看你要修改一下你的参数了,比如thr等应该是阈值吧.如果他里边的数据都成片的相同,应该说已经阈值分割了呀.那我就不太了解了.