Adaptive image fusion using ICA bases

被引：0

作者：

Mitianoudis, Nikolaos ^{[1
]}

Stathaki, Tania ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, London SW7 2AZ, England

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13 | 2006年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Image fusion can be viewed as a process that incorporates essential information from different modality sensors into a composite image. The use of bases trained using Independent Component Analysis (ICA) for image fusion has been highlighted recently. Common fusion rules can be used in the ICA fusion framework with promising results. In this paper, the authors propose an adaptive fusion scheme, based on the ICA fusion framework, that maximises the sparsity of the fusion image in the transform domain.

引用

页码：2077 / 2080

页数：4

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