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| Incremental Wiener Filter and Space-Adaptive Regularization Based Super-Resolution Image Restoration |
| Yan Hua; Liu Ju; Li Dao-zhen; Sun Jian-de |
| School of Info. Sci. and Eng., Shandong University Jinan 250100 China |
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Abstract A new method of super-resolution image restoration is proposed in the paper. In this method, the piecewise smoothness of space-adaptive regularization combines with the rapid convergence of incremental Wiener filter and through an iteration process with a priori constraint about image, one super-resolution image is estimated from several low-resolution images. Simulations show that the method can implement restoration effectively and has good convergence.
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Received: 24 July 2003
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2005, Vol. 27 
