Multispectral constancy based on spectral adaptation transform

Haris Ahmad Khan 1, 2 Jean-Baptiste Thomas 3, 1 Jon Yngve Hardeberg 1
1 ColorLab - The Norvegian Research Color Laboratory
2 Le2i - Laboratoire Electronique, Informatique et Image [UMR6303]
3 Le2i - Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]
Abstract : 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.
Keywords : illuminant estimation spectral adaptation transform Reflectance reconstruction multispectral constancy
Type de document :
Communication dans un congrès
Scandinavian Conference on Image Analysis, Jun 2017, Tromsø, Norway. pp.459--470, 2017, 〈10.1007/978-3-319-59129-2_39〉
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Haris Ahmad Khan, Jean-Baptiste Thomas, Jon Yngve Hardeberg. Multispectral constancy based on spectral adaptation transform. Scandinavian Conference on Image Analysis, Jun 2017, Tromsø, Norway. pp.459--470, 2017, 〈10.1007/978-3-319-59129-2_39〉. 〈hal-01672532〉

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