Detail-preserving Image Recovery Basing on Respective Restoration on Phase and Amplitude
This paper firstly improves D.L.Plillips’s representation about image restoration and then points out that image restoration is ju st a ‘p artial ill-posed’ problem rather than a ‘total ill-posed’ problem---amplitude restoration is ill-posed but pha se restoration is well-posed. Basing on the viewpoints, the paper proposes a r estoration 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.
Image restoration phase restoration amplitude restoration well-posed ill-posed
Zhenjun Zhang Zhiguo Cao Yueming Qin
Institute for Pattern Recognition and Artifical Intelligence, Huazhong University ofScience and Tech Institute for Pattern Recognition and Artifical Intelligence, Huazhong University of Science and Tec
国际会议
桂林
英文
1-8
2011-11-01(万方平台首次上网日期,不代表论文的发表时间)