A VQ-Based Parameter Identification Approach to Blind Image 

Restoration and Resolution Enhancement

Qiao Jian-ping; Liu Ju; Yan Hua; Sun Jian-de

Volume 28 Issue 4

Aug. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2006 > 28(4): 592-596

Qiao Jian-ping, Liu Ju, Yan Hua, Sun Jian-de. A VQ-Based Parameter Identification Approach to Blind Image Restoration and Resolution Enhancement[J]. Journal of Electronics & Information Technology, 2006, 28(4): 592-596.

Citation:

Qiao Jian-ping, Liu Ju, Yan Hua, Sun Jian-de. A VQ-Based Parameter Identification Approach to Blind Image Restoration and Resolution Enhancement[J]. Journal of Electronics & Information Technology, 2006, 28(4): 592-596.

Citation:

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A VQ-Based Parameter Identification Approach to Blind Image Restoration and Resolution Enhancement

Received Date: 2004-07-14
Rev Recd Date: 2005-03-28
Publish Date: 2006-04-19

Abstract

Abstract

Blur identification is usually necessary in image recovery. In this paper, an improved approach is proposed on the basis of VQ-based blur identification algorithm developed by Nakagaki, In this method, Sobel operator is used for extracting feature vectors, so that the selection of the parameter of the LOG filter is avoided and this method is robust to different types of images. The dimensionality of the vector is reduced by utilizing DCT. Meantime, extension of this method to blind super-resolution image restoration is achieved. After blur identification, a super-resolution image is reconstructed from several low-resolution images obtained by different foci. Simulation results demonstrate the feasibility and validity of the method.

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References

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