8 December 2011 Detail-preserving image recovery based on respective restoration on phase and amplitude
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Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 80020M (2011) https://doi.org/10.1117/12.902986
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
This paper firstly improves D.L.Plillips's representation about image restoration and then points out that image restoration is just a 'partial ill-posed' problem rather than a 'total ill-posed' problem---amplitude restoration is ill-posed but phase restoration is well-posed. Basing on the viewpoints, the paper proposes a restoration method, which cuts down phase-pollution caused by traditional regularization methods, that amplitude restoration is realized by regularization and phase restoration is achieved by algebraic method. Experimental results indicate that the proposed method performs well. It can efficiently restore image phase and elaborately preserve image details.
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Zhenjun Zhang, Zhenjun Zhang, Zhiguo Cao, Zhiguo Cao, Yueming Qin, Yueming Qin, } "Detail-preserving image recovery based on respective restoration on phase and amplitude", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80020M (8 December 2011); doi: 10.1117/12.902986; https://doi.org/10.1117/12.902986
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