作业帮小波处理图像对一幅图像进行[c,s]=wavedec2(I,2,'db2');分解,提取低频和高频系数ca2=appcoef2(c,s,'db2',2);%提取二维小波分解高频变换系数[chd2,cvd2,cdd2]=detcoef2('all',c,s,2);[chd1,cvd1,cdd1]=detcoef2('all',c,s,1);对
来源：学生作业帮助网 编辑：作业帮 时间：2024/05/04 03:08:44
![小波处理图像对一幅图像进行[c,s]=wavedec2(I,2,'db2');分解,提取低频和高频系数ca2=appcoef2(c,s,'db2',2);%提取二维小波分解高频变换系数[chd2,cvd2,cdd2]=detcoef2('all',c,s,2);[chd1,cvd1,cdd1]=detcoef2('all',c,s,1);对](/uploads/image/z/10173700-28-0.jpg?t=%E5%B0%8F%E6%B3%A2%E5%A4%84%E7%90%86%E5%9B%BE%E5%83%8F%E5%AF%B9%E4%B8%80%E5%B9%85%E5%9B%BE%E5%83%8F%E8%BF%9B%E8%A1%8C%5Bc%2Cs%5D%3Dwavedec2%28I%2C2%2C%27db2%27%29%3B%E5%88%86%E8%A7%A3%2C%E6%8F%90%E5%8F%96%E4%BD%8E%E9%A2%91%E5%92%8C%E9%AB%98%E9%A2%91%E7%B3%BB%E6%95%B0ca2%3Dappcoef2%28c%2Cs%2C%27db2%27%2C2%29%3B%25%E6%8F%90%E5%8F%96%E4%BA%8C%E7%BB%B4%E5%B0%8F%E6%B3%A2%E5%88%86%E8%A7%A3%E9%AB%98%E9%A2%91%E5%8F%98%E6%8D%A2%E7%B3%BB%E6%95%B0%5Bchd2%2Ccvd2%2Ccdd2%5D%3Ddetcoef2%28%27all%27%2Cc%2Cs%2C2%29%3B%5Bchd1%2Ccvd1%2Ccdd1%5D%3Ddetcoef2%28%27all%27%2Cc%2Cs%2C1%29%3B%E5%AF%B9)
小波处理图像对一幅图像进行[c,s]=wavedec2(I,2,'db2');分解,提取低频和高频系数ca2=appcoef2(c,s,'db2',2);%提取二维小波分解高频变换系数[chd2,cvd2,cdd2]=detcoef2('all',c,s,2);[chd1,cvd1,cdd1]=detcoef2('all',c,s,1);对
小波处理图像
对一幅图像进行[c,s]=wavedec2(I,2,'db2');分解,提取低频和高频系数ca2=appcoef2(c,s,'db2',2);
%提取二维小波分解高频变换系数
[chd2,cvd2,cdd2]=detcoef2('all',c,s,2);
[chd1,cvd1,cdd1]=detcoef2('all',c,s,1);
对高频系数进行处理chd2=zeros(size(chd2));
cvd2=zeros(size(cvd2));
cdd2=zeros(size(cdd2));
chd1=zeros(size(chd1));
cvd1=zeros(size(cvd1));
cdd1=zeros(size(cdd1));
那么如何用这些系数重新进行图像的重构呢?重新得到图像,实质是想将高频全部变为0,留下低频,
matlab处理
小波处理图像对一幅图像进行[c,s]=wavedec2(I,2,'db2');分解,提取低频和高频系数ca2=appcoef2(c,s,'db2',2);%提取二维小波分解高频变换系数[chd2,cvd2,cdd2]=detcoef2('all',c,s,2);[chd1,cvd1,cdd1]=detcoef2('all',c,s,1);对
程序如下.你只需要提取程序的低频分量.然后在一个figure中显示低频分量即可.
[c,s]=wavedec2(I,2,'db2');
ca2=appcoef2(c,s,'db2',2);%这是提取低频细节信息
imshow(ca2);%显示低频信息
当然啦.你还可以用小波包中的函数实现.
waverec函数。。matlab里的help去看看