Journal
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING
Volume 14, Issue 4, Pages -Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0219691316500247
Keywords
Sparse representation; image fusion; multi-resolution; multi-modal sensors
Funding
- National Natural Science Foundation of China [61102108]
- Scientific Research Fund of Hunan Provincial Education Department [11C1101, YB2013B039, 12A115]
- Young talents program of the University of South China
- construct program of key disciplines in USC [NHXK04]
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In this paper, an efficient approximate sparse representation (SR) algorithm with multi-selection strategy is used to solve the image fusion problem. We have shown that the approximate SR is effective for image fusion even if the sparse coefficients are not the sparsest ones possible. A multi-selection strategy is used to accelerate the process of generating the approximate sparse coefficients which are used to guide the fusion of image patches. The relative parameters are also investigated experimentally to further reduce the computational time. The proposed method is compared with some state-of-the-art image fusion approaches on several pairs of multi-source images. The experimental results exhibit that the proposed method is able to yield superior fusion results with less consumption time.
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