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31 July 2002 Novel deconvolution approach to image restoration
Xinpeng Zhang, Shuozhong Wang
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Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477105
Event: Second International Conference on Image and Graphics, 2002, Hefei, China
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.
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Xinpeng Zhang and Shuozhong Wang "Novel deconvolution approach to image restoration", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477105
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KEYWORDS
Image restoration
Deconvolution
Image quality
Signal to noise ratio
Cameras
Convolution
Communication engineering
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