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Volume 27 Issue 1
Jan.  2005
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Yan Hua, Liu Ju, Li Dao-zhen, Sun Jian-de. Incremental Wiener Filter and Space-Adaptive Regularization Based Super-Resolution Image Restoration[J]. Journal of Electronics & Information Technology, 2005, 27(1): 35-38.
Citation: Yan Hua, Liu Ju, Li Dao-zhen, Sun Jian-de. Incremental Wiener Filter and Space-Adaptive Regularization Based Super-Resolution Image Restoration[J]. Journal of Electronics & Information Technology, 2005, 27(1): 35-38.

Incremental Wiener Filter and Space-Adaptive Regularization Based Super-Resolution Image Restoration

  • Received Date: 2003-07-24
  • Rev Recd Date: 2003-12-22
  • Publish Date: 2005-01-19
  • 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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