Multispectral constancy based on spectral adaptation transform

• 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

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.