期刊
IEEE TRANSACTIONS ON IMAGE PROCESSING
卷 21, 期 5, 页码 2898-2909出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2012.2183140
关键词
Coefficient-combining strategy; higher order singular value decomposition (HOSVD); image fusion; sigmoid function
资金
- National Natural Science Foundation of China [61172123, 60901059, 61075044]
- Natural Science Foundation of Shaanxi Province [2010JQ8001]
- China Postdoctoral Science Foundation [201003679, 20100481355]
A novel higher order singular value decomposition (HOSVD)-based image fusion algorithm is proposed. The key points are given as follows: 1) Since image fusion depends on local information of source images, the proposed algorithm picks out informative image patches of source images to constitute the fused image by processing the divided subtensors rather than the whole tensor; 2) the sum of absolute values of the coefficients (SAVC) from HOSVD of subtensors is employed for activity-level measurement to evaluate the quality of the related image patch; and 3) a novel sigmoid-function-like coefficient-combining scheme is applied to construct the fused result. Experimental results show that the proposed algorithm is an alternative image fusion approach.
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