Nonlinear spectral image fusion
Benning M, Moeller M, Nossek RZ, Burger M, Cremers D, Gilboa G, Schonilibe CB (2017)
Publication Type: Conference contribution
Publication year: 2017
Journal
Publisher: Springer Verlag
Book Volume: 10302 LNCS
Pages Range: 41-53
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Kolding, DNK
ISBN: 9783319587707
DOI: 10.1007/978-3-319-58771-4_4
Abstract
In this paper we demonstrate that the framework of nonlinear spectral decompositions based on total variation (TV) regularization is very well suited for image fusion as well as more general image manipulation tasks. The well-localized and edge-preserving spectral TV decomposition allows to select frequencies of a certain image to transfer particular features, such as wrinkles in a face, from one image to another. We illustrate the effectiveness of the proposed approach in several numerical experiments, including a comparison to the competing techniques of Poisson image editing, linear osmosis, wavelet fusion and Laplacian pyramid fusion. We conclude that the proposed spectral TV image decomposition framework is a valuable tool for semi- and fully automatic image editing and fusion.
Authors with CRIS profile
Involved external institutions
University of Cambridge
United Kingdom (GB)
Universität Siegen
Germany (DE)
Technion - Israel Institute of Technology
Israel (IL)
Technische Universität München (TUM)
Germany (DE)
Westfälische Wilhelms-Universität (WWU) Münster
Germany (DE)
United Kingdom (GB)
Universität Siegen
Germany (DE)
Technion - Israel Institute of Technology
Israel (IL)
Technische Universität München (TUM)
Germany (DE)
Westfälische Wilhelms-Universität (WWU) Münster
Germany (DE)
How to cite
APA:
Benning, M., Moeller, M., Nossek, R.Z., Burger, M., Cremers, D., Gilboa, G., & Schonilibe, C.-B. (2017). Nonlinear spectral image fusion. In Francois Lauze, Yiqiu Dong, Anders Bjorholm Dahl (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 41-53). Kolding, DNK: Springer Verlag.
MLA:
Benning, Martin, et al. "Nonlinear spectral image fusion." Proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, Kolding, DNK Ed. Francois Lauze, Yiqiu Dong, Anders Bjorholm Dahl, Springer Verlag, 2017. 41-53.
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