Blind deconvolution of blurred images by use of ICA

被引：14
|
作者：
Umeyama, S [1 ]
机构：
[1] AIST, Inst Neurosci, Tsukuba, Ibaraki 3058568, Japan
来源：
ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE | 2001年 / 84卷 / 12期
关键词：
Independent component analysis (ICA); image restoration; blurred image;
D O I：
10.1002/ecjc.1051
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Independent Component Analysis is a new data analysis method, and its computation algorithms and applications have been widely studied recently. Most applications, however, are in the field of one-dimensional data analysis, such as sound data analysis, and few applications for two-dimensional data (e.g., image data) have been studied. In this paper, a new application of ICA for two-dimensional data analysis is given, namely, image restoration of blurred images. The proposed method can restore the original image without knowing the blurring process. (C) 2001 Scripta Technica, Electron Comm Jpn Pt 3, 84(12): 1-9, 2001.
引用
收藏
页码：1 / 9
页数：9
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