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Volume: 29 | Article ID: art00028
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Illumination and Reflectance Spectra Separation of Hyperspectral Image Data under Multiple Illumination Conditions
  DOI :  10.2352/ISSN.2470-1173.2017.18.COLOR-060  Published OnlineJanuary 2017
Abstract

Recently, a remarkably simple method was developed to solve the illumination and reflectance spectra separation problem (IRSS) based on the standard low-dimensionality assumption of reflectance. However, because this method assumes the scene is under one uniform illumination, it can not handle scene contains multiple illuminations or dominant shadows. In this paper, we address this problem by formulating the multiple illuminations and reflectance separation problem as a Conditional Random Field (CRF) optimization task over local separations. We then improve local illumination and reflectance separation by incorporating spatial information in each local patch.

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Xiaochuan Chen, Mark S. Drew, Ze-Nian Li, "Illumination and Reflectance Spectra Separation of Hyperspectral Image Data under Multiple Illumination Conditionsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Color Imaging XXII: Displaying, Processing, Hardcopy, and Applications,  2017,  pp 194 - 199,  https://doi.org/10.2352/ISSN.2470-1173.2017.18.COLOR-060

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Copyright © Society for Imaging Science and Technology 2017
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Electronic Imaging
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