Image Fusion Using HOSVD - Hatte, Suchita
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The goal of image fusion is to combine relevant information from two or more source images into one single image such that the single image contains as much information from all the source images as possible.There are many image fusion methods.This book present some of the image fusion techniques for image fusion and propose novel higher order singular value decomposition (HOSVD) based image fusion algorithm. 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.…mehr

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Produktbeschreibung
The goal of image fusion is to combine relevant information from two or more source images into one single image such that the single image contains as much information from all the source images as possible.There are many image fusion methods.This book present some of the image fusion techniques for image fusion and propose novel higher order singular value decomposition (HOSVD) based image fusion algorithm. 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.
Autorenporträt
Prof. Hatte Suchita Chandrakant from the Electronics Department, K.B.P. College of engineering, Satara. She is Currently working in K.B.P. College of engineering as an associate professor.