Adaptive Region-Based Multimodal Image Fusion Using ICA Bases
Florence（2009）
摘要
In this paper, we present a novel multimodal image fusion algorithm in {ICA} domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the {ICA} coefficients from given regions using the Piella fusion metric to maximise the quality of the fused image. The proposed method exhibits significantly higher performance than the basic {ICA} algorithm and improvement over other state-of-the-art algorithms
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关键词
image fusion,image segmentation,independent component analysis,ICA bases,Piella fusion metric,adaptive region,image segmentation,independent component analysis,multimodal image fusion,Independent Component Analysis,image fusion,image fusion metrics,region-based image fusion,segmentation
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