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This paper deals with two complementary methods in noisy image
deblurring: a nonlinear shrinkage of wavelet-packets coefficients called FCNR
and Rudin-Osher-Fatemi's variational method. The FCNR has for objective to
obtain a restored image with a white noise. It will prove to be very efficient
to restore an image after an invertible blur but limited in the opposite
situation. Whereas the Total Variation based method, with its ability to
reconstruct the lost frequencies by interpolation, is very...
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