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2015 | OriginalPaper | Buchkapitel

A Novel NSCT Fusion Algorithm for Images Based on Compressive Sensing and Dynamic WNMF

verfasst von : Yanyan Wu, Yajie Wang, Linlin Wang, Xiangbin Shi

Erschienen in: Image and Graphics

Verlag: Springer International Publishing

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Abstract

For the calculation complexity problem of image fusion based on traditional non-subsampled contourlet transform (NSCT), a novel NSCT fusion algorithm based on compressive sensing (CS) and dynamic weighted non-negative matrix factorization (DWNMF) is proposed. Firstly, NSCT is employed to decompose source images, for band-pass directional sub-band coefficients which are featured with high calculation complexity, CS theory is applied to fuse them, meanwhile, the fusion approach based on DWNMF is employed to fuse low-pass sub-band coefficients. Secondly, the minimum total variation (min-TV) algorithm is adopted to reconstruct fused band-pass directional sub-band coefficients in CS domain, to get fused band-pass sub-band coefficients in NSCT domain. Finally, using the inverse NSCT transform to reconstruct fused low-pass and band-pass sub-images, to gain the final fused image. Simulation results show that, the proposed approach can not only improve the fusion effect, but also reduce the calculation complexity.

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Titel: A Novel NSCT Fusion Algorithm for Images Based on Compressive Sensing and Dynamic WNMF
verfasst von: Yanyan Wu
Yajie Wang
Linlin Wang
Xiangbin Shi
Verlag: Springer International Publishing
Buch: Image and Graphics
Print ISBN: 978-3-319-21977-6

Electronic ISBN: 978-3-319-21978-3

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-21978-3_32

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