Study of 2-Dimensional Blind Equalization in Blind Image Restoration
盲图像恢复中的二维盲均衡研究

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.