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
ISBN0-7803-9422-4
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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
2354.pdf(2749KB) 限制开放--请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang SJ]的文章
[Cao Y]的文章
[Huang Y]的文章
百度学术
百度学术中相似的文章
[Wang SJ]的文章
[Cao Y]的文章
[Huang Y]的文章
必应学术
必应学术中相似的文章
[Wang SJ]的文章
[Cao Y]的文章
[Huang Y]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。