Error in using waverec2
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I have a code below,where i used 2 level decomposition and added noise to image ,wen reconstructing i am not getting original image ,please assist
X = imread('cameraman.tif');
[C,S] = wavedec2(X,2,'haar');
A1 = appcoef2(C,S,'haar',1);
A2 = appcoef2(C,S,'haar',2);
[H1,V1,D1] = detcoef2('all',C,S,1);
[H2,V2,D2] = detcoef2('all',C,S,2);
lev=[A1,H1;V1,D1];
figure('name','One_level_Decomposition','numbertitle','off'), imshow(uint8(lev))
q=[A2,H2;V2,D2];
q1=[q,H1;V1,D1];
figure('name','Two_level_Decomposition','numbertitle','off'), imshow(uint8(q1)),title('Two_level_Decomposition')
J = imnoise(q1,'salt & pepper',0.02);
G=J(:)';
p=waverec2(G,S,'haar')
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Accepted Answer
Wayne King
on 28 Feb 2013
You add noise to the image, then denoise in the wavelet domain, then reconstruct.
Like this:
load sinsin;
Y = X + 18*randn(size(X));
[thr,sorh,keepapp] = ddencmp('den','wv',Y);
xd = wdencmp('gbl',Y,'sym4',2,thr,sorh,keepapp);
subplot(221)
imagesc(X); title('Original Image');
subplot(222);
imagesc(Y); title('Noisy Image');
subplot(223)
imagesc(xd); title('Denoised Image');
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More Answers (2)
Wayne King
on 28 Feb 2013
Why do you expect that after you have added noise to the coefficients and then inverted the wavelet transform that you would obtain the original image?
That will never happen. The wavelet transform (like the Fourier transform) is an invertible transform. If you modify the coefficients (in the wavelet domain or in the Fourier domain) and then invert the transform, you will end up with a different signal (image).
Wayne King
on 28 Feb 2013
Yes, but you don't need to use anything other than the C,S vectors
load woman;
[C,S] = wavedec2(X,2,'haar');
Xnew = waverec2(C,S,'haar');
max(max(abs(X-Xnew)))
You see perfect reconstruction
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