Multispectral Constancy Based on Spectral Adaptation Transform

  • Haris Ahmad Khan
  • Jean Baptiste Thomas
  • Jon Yngve Hardeberg
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10270)

Abstract

The spectral reflectance of an object surface provides valuable information about its characteristics. Reflectance reconstruction from multispectral images is based on certain assumptions. One of these assumptions is that the same illumination is used for system calibration and image acquisition. We propose the novel concept of multispectral constancy, achieved through a spectral adaptation transform, which transforms the sensor data acquired under an unknown illumination to a generic illuminant-independent space. The proposed concept and methods are inspired from the field of computational color constancy. Spectral reflectance is then estimated by using a generic linear calibration. Results of reflectance reconstruction using the proposed concept show that it is efficient, but highly sensitive to the accuracy of illuminant estimation.

Keywords

Reflectance reconstruction Multispectral constancy Illuminant estimation Spectral adaptation transform 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Haris Ahmad Khan
    • 1
    • 2
  • Jean Baptiste Thomas
    • 1
    • 2
  • Jon Yngve Hardeberg
    • 1
  1. 1.The Norwegian Colour and Visual Computing LaboratoryNTNU - Norwegian University of Science and TechnologyGjøvikNorway
  2. 2.Le2i, FRE CNRS 2005Univ. Bourgogne Franche-ComtéDijonFrance

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