Pixel-based and region-based image fusion schemes using ICA bases

被引:237
作者
Mitianoudis, Nikolaos [1 ]
Stathaki, Tania [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Commun & Signal Proc Grp, London SW7 2AZ, England
关键词
image fusion; image segmentation; Independent Component Analysis; topographic ICA;
D O I
10.1016/j.inffus.2005.09.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The task of enhancing the perception of a scene by combining information captured by different sensors is usually known its image fusion. The pyramid decomposition and the Dual-Tree Wavelet Transform have been thoroughly applied in image fusion as analysis and synthesis tools. Using a number of pixel-based and region-based fusion rules, one can combine the important features of the input images in the transform domain to compose an enhanced image. In this paper, the authors test the efficiency of a transform constructed using Independent Component Analysis (ICA) and Topographic Independent Component Analysis bases in image fusion. The bases are obtained by offline training with images of similar context to the observed scene. The images are fused in the transform domain using novel pixel-based or region-based rules. The proposed schemes feature improved performance compared to traditional wavelet approaches with slightly increased computational complexity. (C) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:131 / 142
页数:12
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