A novel image restoration algorithm based on high-dimensional space geometry
Cao WM; Xie MF; Wang SJ; Cao, WM, Zhejiang Univ Technol, Coll Informat Engn, Inst Intelligent Informat Syst, Hangzhou 310014, Peoples R China. 电子邮箱地址: csann@zjut.edu.cn
2006
会议名称International Conference on Computational Science and Its Applications (ICCSA 2006)
会议录名称COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006丛书标题: LECTURE NOTES IN COMPUTER SCIENCE
页码PT 5 3984: 375-383
会议日期MAY 08-AUG 11, 2003
会议地点Glasgow, SCOTLAND
出版地HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者SPRINGER-VERLAG BERLIN
ISSN0302-9743
ISBN3-540-34079-3
部门归属zhejiang univ technol, coll informat engn, inst intelligent informat syst, hangzhou 310014, peoples r china; chinese acad sci, inst semicond, beijing 100083, peoples r china
摘要A novel image restoration approach based on high-dimensional space geometry is proposed, which is quite different from the existing traditional image restoration techniques. It is based on the homeomorphisms and "Principle of Homology Continuity" (PHC), an image is mapped to a point in high-dimensional space. Begin with the original blurred image, we get two further blurred images, then the restored image can be obtained through the regressive curve derived from the three points which are mapped form the images. Experiments have proved the availability of this "blurred-blurred-restored" algorithm, and the comparison with the classical Wiener Filter approach is presented in final.
关键词Neural-network
学科领域人工智能
主办者IEE.; Univ Perugia.; Univ Calgary.; Univ Minnesota.; Queens Univ Belfast.; ERCIM.; OptimaNumerics.; INTEL.; AMD.
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/172111/10018
专题中国科学院半导体研究所(2009年前)
通讯作者Cao, WM, Zhejiang Univ Technol, Coll Informat Engn, Inst Intelligent Informat Syst, Hangzhou 310014, Peoples R China. 电子邮箱地址: csann@zjut.edu.cn
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Cao WM,Xie MF,Wang SJ,et al. A novel image restoration algorithm based on high-dimensional space geometry[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:SPRINGER-VERLAG BERLIN,2006:PT 5 3984: 375-383.
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