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A novel image restoration approach based on point location in high-dimensional space geometry | |
Wang SJ; Cao Y; Huang Y; Wang, SJ, Chinese Acad Sci, Inst Semicond, Lab Neural Network, Beijing 100083, Peoples R China. | |
2005 | |
会议名称 | International Conference on Neural Networks and Brain (ICNN&B 2005) |
会议录名称 | Proceedings of the 2005 International Conference on Neural Networks and Brain |
页码 | Vols 1-3: 301-305 |
会议日期 | OCT 13-15, 2005 |
会议地点 | Beijing, PEOPLES R CHINA |
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
出版者 | IEEE |
ISBN | 0-7803-9422-4 |
部门归属 | chinese acad sci, inst semicond, lab neural network, beijing 100083, peoples r china |
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. |
关键词 | Image Restoration |
学科领域 | 人工智能 |
主办者 | China Neural Networks Council.; IEEE Computat Intelligence Soc, Beijing Chapter.; Chinese Inst Elect.; Chinese Assoc Artificial Intelligence. |
收录类别 | 其他 |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.semi.ac.cn/handle/172111/9944 |
专题 | 中国科学院半导体研究所(2009年前) |
通讯作者 | Wang, SJ, Chinese Acad Sci, Inst Semicond, Lab Neural Network, Beijing 100083, Peoples R China. |
推荐引用方式 GB/T 7714 | Wang SJ,Cao Y,Huang Y,et al. A novel image restoration approach based on point location in high-dimensional space geometry[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2005:Vols 1-3: 301-305. |
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