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Proceedings Paper

Point spread function estimation based on wavelet transform for image restoration
Author(s): Xiao-xuan Chen; Zhi-gang Fan
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Paper Abstract

A new PSF estimation algorithm based on the wavelet theory is put forward. First, restored images are obtained by using a non-blind regularized deconvolution technique for a wide range of values of the PSF parameters. Then, a wavelet-based criterion is proposed for choosing the optimal PSF parameter. Experimental results show that the images restored by the proposed algorithm are visually improved, and the estimated values of parameter are close to the actual values. The differences between them are less than 1 pixel and the BSNR has been improved about 2db.

Paper Details

Date Published: 29 November 2007
PDF: 8 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68331M (29 November 2007); doi: 10.1117/12.754156
Show Author Affiliations
Xiao-xuan Chen, Harbin Institute of Technology (China)
Zhi-gang Fan, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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