File(s) under permanent embargo
Efficient estimation of reflectance parameters from imaging spectroscopy
journal contribution
posted on 2013-09-01, 00:00 authored by Lin Gu, Antonio Robles-KellyAntonio Robles-Kelly, Jun ZhouIn this paper, we address the problem of efficiently recovering reflectance parameters from a single multispectral or hyperspectral image. To do so, we propose a shapelet based estimator that employs shapelets to recover the shading in the image. The optimization setting presented is based upon a three-step process. The first of these concerns the recovery of the surface reflectance and the specular coefficients through a constrained optimization approach. Second, we update the illuminant power spectrum using a simple least-squares formulation. Third, the shading is computed directly once the updated illuminant power spectrum is obtained. This yields a computationally efficient method that achieves speed-ups of nearly an order of magnitude over its closest alternative without compromising performance. We provide results on illuminant power spectrum computation, shading recovery, skin recognition and replacement of the scene illuminant, and object reflectance in real-world images.
History
Journal
IEEE transactions on image processingVolume
22Issue
9Pagination
3648 - 3663Publisher
Institute of Electrical and Electronics EngineersLocation
Piscataway, N.J.Publisher DOI
Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2013, IEEEUsage metrics
Keywords
Multispectral and hyperspectral imagingscene analysisinverse methods for imaging spectroscopyScience & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicComputer ScienceEngineeringCOLORSHAPECONSTRAINTSDIFFUSEMODELArtificial Intelligence and Image Processing
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC