CFA Based Simultaneous Multispectral Imaging and Illuminant Estimation

  • Raju Shrestha
  • Jon Yngve Hardeberg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7786)


This paper proposes an extension to the CFA based multispectral imaging with an added capability of illuminant estimation. A special filter is used on top of regular R, G and B filters of a camera, replacing one of the two green filters, with one of them. This gives a six channel multispectral image. A normal RGB image is produced by the RGB filters. The corresponding filtered RGB image is obtained using the filtered RGB channels. The two images of a scene allow estimating the illuminant using the chromagenic illuminant estimation algorithm. The proposed system is thus capable of acquiring not only multispectral image but also normal RGB image, and at the same time capable of estimating the illuminant under which the image is captured. This makes the system useful in many applications in color imaging and computer vision. Simulation experiments confirm the effectiveness of the proposed system.


multispectral color constancy illuminant estimation chromagenic color filter array cfa mcfa 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Raju Shrestha
    • 1
  • Jon Yngve Hardeberg
    • 1
  1. 1.The Norwegian Colour and Visual Computing LaboratoryGjøvik University CollegeGjøvikNorway

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