Abstract
This paper presents a blind iterative algorithm for blurred image restoration. Herein, an optical blur kernel is considered. The proposed deblurring approach performs in the wavelet domain. It is relying on the wavelet details analysis and correction through resolutions. A quality-metric-based stopping criterion is proposed to control the iterative correction process. The main advantage of the proposed technique lies in the fact that it is fully automatic and both the iterative correction process and the stopping criterion are based on the same transform. Tests using blurred images from the LIVE 2008 database show the effectiveness of the proposed adaptive algorithm.
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