Image Fusion Using Tensor Decomposition and Coefficient Combining Scheme

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)
© 2014 by IJETT Journal
Volume-15 Number-9
Year of Publication : 2014
Authors : Mugdha S. Rane , Prof. Dr. D. S. Bormane


Mugdha S. Rane , Prof. Dr. D. S. Bormane. "Image Fusion Using Tensor Decomposition and Coefficient Combining Scheme", International Journal of Engineering Trends and Technology (IJETT), V15(9),453-459 Sep 2014. ISSN:2231-5381. published by seventh sense research group


In this paper, an effective image fusion method is proposed for creating a highly informative fused image through merging multiple images. The proposed method is based on higher order singular value decomposition (HOSVD). Since image fusion depends on local information of source images, the proposed algorithm simply groups together similar patches of source images to constitute the fused image by processing the divided 3D stack rather than the whole tensor. Then it computes the sum of absolute values of the coefficients (SAVC) from HOSVD of sub-tensors for activity-level measurement to evaluate the quality of the related image patch; and 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 fusion approach for multi-modal and multi-focus images.


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Coefficient-combining strategy, singular value decomposition (SVD), image fusion, sigmoid function.