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Study of 2-Dimensional Blind Equalization in Blind Image Restoration |
Liu Tao; Guo Jun |
School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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Abstract During the transmission of digital image, the signal may be blurred by the Point Spread Function (PSF) of the 2-dimensional channel. On the restoration of the image, the influence of PSF should be eliminated without the knowledge of PSF in most real applications. It is called blind image restoration when the property of PSF is unknown. A new algorithm for blind image restoration via 2-dimensional blind equalization is proposed in this article. It is essentially a 2-dimensional expansion of EVA algorithm applied in the field of communication. Experimental results show that the algorithm works with rapid convergence speed and high improvement of SNR and has the prospect of wide applications.
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Received: 04 November 2004
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