Denoising by Donoho algorithm
13 次查看(过去 30 天)
显示 更早的评论
Hello I'm trying to apply Donoho formula on my noisy image to get the threshold value and apply it on details coefficients which i get it by using wavedec function please someone help me to get a results if some one have another idea for make my code useful please just tell me I'm waiting
clear all
I=imread('cameraman.tif');
n = prod( size(I) );
I=double(I);
Ib=I+25*randn(size(I));% add noise
[C,S] = wavedec2(Ib,2,'bior3.7');
DH = detcoef2('all',C,S,1);% extract details coefficient from level 1
delta = median( abs(DH) ) / 0.6745;
thr = delta * sqrt(2*log(n));
NC = wthcoef2('bior3.7',C,S,DH,thr,s) % i use the soft threshold
X = waverec2(C, S, 'bior3.7'); % how can i get my image after threshold
figure(2)
imagesc(X);axis off;colormap(gray)
0 个评论
采纳的回答
Wayne King
2013-6-15
编辑:Wayne King
2013-6-15
You want to use the thresholded coefficients in the reconstruction. You also made a couple other errors in your code.
I = imread('cameraman.tif');
n = prod( size(I) );
I = double(I);
Ib = I+25*randn(size(I));% add noise
[C,S] = wavedec2(Ib,2,'bior3.7');
DH = detcoef2('all',C,S,1);% extract details coefficient from level 1
DH = DH(:);
delta = median( abs(DH) ) / 0.6745;
thr = delta * sqrt(2*log(n));
NC = wthcoef2('t',C,S,1,thr,'s'); % i use the soft threshold
X = waverec2(NC, S, 'bior3.7');
figure;
imagesc(Ib); title('Noisy Image'); colormap gray;
figure;
imagesc(X); title('Denoised 1st level coeffs'); colormap gray;
8 个评论
Walter Roberson
2013-6-22
NC = wthcoef2('t',C,S,N,T,SORH) returns the detail coefficients obtained from the wavelet decomposition structure [C,S] by soft (if SORH ='s') or hard (if SORH ='h') thresholding (see wthresh for more information) defined in vectors N and T. N contains the detail levels to be thresholded and T the corresponding thresholds which are applied in the three detail orientations. N and T must be of the same length.
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Detection 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!