Multispectral constancy based on spectral adaptation transform

International audience The spectral reflectance of an object surface provides the valuable information about its characteristics. Reflectance reconstruction is based on certain assumptions. One of these assumptions is that the same illumination is used for system calibration and the image acquisitio...

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Bibliographic Details
Main Authors: Khan, Haris Ahmad, Thomas, Jean-Baptiste, Hardeberg, Jon Yngve
Other Authors: The Norvegian Research Color Laboratory (ColorLab), Gjovik University College, Laboratoire Electronique, Informatique et Image UMR6306 (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Electronique, d'Informatique et d'Image EA 7508 (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM)
Format: Conference Object
Language:English
Published: HAL CCSD 2017
Subjects:
illuminant estimation
spectral adaptation transform
Reflectance reconstruction
multispectral constancy
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Norway
Tromsø
Online Access:https://hal.archives-ouvertes.fr/hal-01672532
https://hal.archives-ouvertes.fr/hal-01672532/document
https://hal.archives-ouvertes.fr/hal-01672532/file/SCIA_Haris.pdf
https://doi.org/10.1007/978-3-319-59129-2_39
Description
Summary:International audience The spectral reflectance of an object surface provides the valuable information about its characteristics. Reflectance reconstruction is based on certain assumptions. One of these assumptions is that the same illumination is used for system calibration and the image acquisition. We propose multispectral constancy through spectral adaptation transform, which transforms the sensor data acquired under an unknown illumination to a generic illuminant-independent space, similar to the computational color constancy. Spectral reflectance is then estimated by using a generic linear calibration. Results of reflectance reconstruction using the proposed concept show that this concept is efficient, but highly sensitive to the accuracy of illuminant estimation.

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