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题名: A novel image restoration approach based on point location in high-dimensional space geometry
作者: Wang SJ;  Cao Y;  Huang Y
出版日期: 2005
会议日期: OCT 13-15, 2005
摘要: The goal of image restoration is to restore the original clear image from the existing blurred image without distortion as possible. A novel approach based on point location in high-dimensional space geometry method is proposed, which is quite different from the thought ways of existing traditional image restoration approaches. It is based on the high-dimensional space geometry method, which derives from the fact of the Principle of Homology-Continuity (PHC). Begin with the original blurred image, we get two further blurred images. Through the regressive deducing curve fitted by these three images, the first iterative deblured image could be obtained. This iterative "blurring-debluring-blurring" process is performed till reach the deblured image. Experiments have proved the availability of the proposed approach and achieved not only common image restoration but also blind image restoration which represents the majority of real problems.
会议名称: International Conference on Neural Networks and Brain (ICNN&B 2005)
KOS主题词: Image reconstruction
会议文集: Proceedings of the 2005 International Conference on Neural Networks and Brain
专题: 中国科学院半导体研究所(2009年前)_会议论文

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推荐引用方式:
Wang, SJ; Cao, Y; Huang, Y .A novel image restoration approach based on point location in high-dimensional space geometry .见:IEEE .Proceedings of the 2005 International Conference on Neural Networks and Brain,345 E 47TH ST, NEW YORK, NY 10017 USA ,2005,Vols 1-3: 301-305
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