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Proceedings Paper

Fusion of infrared and visual image sequences based on moving target detection and DT-CWT
Author(s): Cheng Zhao; Mengyin Fu
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Paper Abstract

Combined with moving target detecting theory, a novel algorithm based on dual-tree complex wavelet transform was proposed to fuse infrared and visible image sequences. Firstly, a moving target detecting method was applied to separate moving targets. Then we performed dual-tree complex wavelet transform on each image pair. In order to maximumly retain the target information as well as to achieve high efficiency, different fusion rules were designed for both target and background regions within low and high frequency subbands. Finally, the fusion results were obtained through the inverse dual-tree complex wavelet transform. Experimental results show that the proposed algorithm could effectively integrate important information of target regions from both infrared and visible image sequences. The obtained results are stable and consistent for time, and have better performance than those of traditional wavelet-based fusion algorithm which processes image sequence as independent frames in subjective visual quality and objective evaluation indices.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953J (30 October 2009);
Show Author Affiliations
Cheng Zhao, Beijing Institute of Technology (China)
Mengyin Fu, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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