A new method, based on the normal shrink and
modified version of Katssagelous and Lay, is proposed for multiscale
blind image restoration. The method deals with the noise and blur in
the images. It is shown that the normal shrink gives the highest S/N
(signal to noise ratio) for image denoising process. The multiscale
blind image restoration is divided in two sections. The first part of
this paper proposes normal shrink for image denoising and the
second part of paper proposes modified version of katssagelous and
Lay for blur estimation and the combination of both methods to reach
a multiscale blind image restoration.
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