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How to compress wavelet transform
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when i preform a FFT2 (of an image) it is simple to compress it by ignoring the edges and then to reconstruct using ifft.
but how can i do the same using wavelet transform?
when i preform a wavelet transform of a 2D image i get 4 different matrices (approximation, vertical, horizontal and diagonal details).
and by using:
[C,S]=wavedec2(I,level,wname);
simply provides me with a long vector C of the matrices above.
i found this:
[I_c]=wdencmp('lvd',C,S,wname,level,thr,sorh);
it suppose to compress the wavelet transform up to a cetrain threshold 'thr', but i can't figure out how to set the 'thr' parameter according to the ammount of coefficients that ware compressed.
is there any other way?
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