Error in using waverec2

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')

 采纳的回答

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');

更多回答(2 个)

Wayne King
Wayne King 2013-2-28

0 个投票

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).

1 个评论

ok wayne is it possible to reconstruct from this variable q1
q1=[q,H1;V1,D1];

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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

3 个评论

Wayne but i need to do some operation after wavedec2 and then reconstruct and find PSNR,some operation may be ADDING NOISE
not perfect reconstruction,nearly 70% is enough

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