Multimodal Medical Image Fusion Based On SVD
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
Image fusion is a promising process in the field of medical image processing, the idea behind is to improve the content of medical image by combining two or more multimodal medical images. In this paper a novel fusion framework based on singular value decomposition - based image fusion algorithm is proposed. SVD is an image adaptive transform, it transforms the matrix of the given image into product USV T , which allows to refactor a digital image into three matrices called tensors. 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 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 image fusion approach.
Authors and Affiliations
P. Ambika Priyadharsini
Keywords
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