Subsurface Enhancement through Sparse Representations of Multispectral Direct/Global Decomposition

A. Kadambi; H. Ikoma; X. Lin; G. Wetzstein; R. Raskar

doi:10.1364/COSI.2013.CTh1B.4

Imaging and Applied Optics
OSA Technical Digest (online) (Optica Publishing Group, 2013),
paper CTh1B.4
•https://doi.org/10.1364/COSI.2013.CTh1B.4

Subsurface Enhancement through Sparse Representations of Multispectral Direct/Global Decomposition

A. Kadambi, H. Ikoma, X. Lin, G. Wetzstein, and R. Raskar

Computational Optical Sensing and Imaging 2013

Arlington, Virginia United States
23–27 June 2013
ISBN: 978-1-55752-975-6

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Computational Imaging through Turbulence and Scattering Media (CTh1B)

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A. Kadambi, H. Ikoma, X. Lin, G. Wetzstein, and R. Raskar, "Subsurface Enhancement through Sparse Representations of Multispectral Direct/Global Decomposition," in Imaging and Applied Optics, OSA Technical Digest (online) (Optica Publishing Group, 2013), paper CTh1B.4.

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Abstract

Direct-Global separation is a powerful result from the graphics/vision community. In this paper, we utilize multispectral global-direct decomposition with a sparse-coding algorithm. Our results are presented in the context of enhancing sub-surface features.

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