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Proceedings Paper

Novel deconvolution approach to image restoration
Author(s): Xinpeng Zhang; Shuozhong Wang
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Paper Abstract

A small deconvolution kernel for image restoration has been sought based upon minimization of a target function, leading to a new restoration technique requiring considerably less computation compared to many other approaches. Regularization is achieved by introducing a multiplier that is in proportion to the average energy ofthe additive noise contained in the degraded image. The average noise energy may be estimated from the observed degraded image. Experimental results are given to show performance of the proposed method.

Paper Details

Date Published: 31 July 2002
PDF: 8 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477105
Show Author Affiliations
Xinpeng Zhang, Shanghai Univ. (China)
Shuozhong Wang, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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