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Proceedings Paper

Blind image restoration based on parzen-window estimate and regularization method
Author(s): Lingwei Chen; Xinyu Chen; Ping Guo
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Paper Abstract

To investigate blind image restoration problem, we propose to combine Parzen-window estimate with regularization technique (PWERT) in this paper. Parzen-window estimate method is engaged to obtain point spread function. And regularization technique is utilized to control the noise deterioration and ill-posed case during image restoration. Experiment results show that PWERT is able to deblur degraded image effectively and is robust to noise.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891L (14 November 2007); doi: 10.1117/12.751752
Show Author Affiliations
Lingwei Chen, Beijing Normal Univ. (China)
Xinyu Chen, Beijing Normal Univ. (China)
Ping Guo, Beijing Normal Univ. (China)
Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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