Adaptive Colorimetric Characterization of Digital Camera with White Balance

  • Soo-Wook Jang
  • Eun-Su Kim
  • Sung-Hak Lee
  • Kyu-Ik Sohng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3656)


A camera is an effective tool in capturing images for colorimetric use. However, the RGB signals generated by different cameras are not equal for the same scene. Therefore, cameras are characterized based on a CIE standard colorimetric observer. This paper proposes a new method for obtaining camera transfer matrices under different white balances using a 3×3 camera transfer matrix under a specific white balance point. As such, the proposed methods enables a camera transfer matrix under any other white balance to be obtained using the colorimetric coordinates for the phosphor primaries derived from a 3×3 linear transfer matrix under a certain white balance point. Experimental results confirmed that the proposed method produced a 3×3 linear transfer matrix under any other white balance with a reasonable degree of accuracy compared with the transfer matrix obtained by the conventional method.


Transfer Matrix Color Target White Balance Color Scanner Color Gamut 
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  1. 1.
    CIE Pub. 15.2. Colorimetry, 2nd edn., CIE Central Bureau, Vienna (1986)Google Scholar
  2. 2.
    Hong, G., Luo, M.R., Rhodes, P.A.: A study of digital camera colorimetric characterization based on polynomial modeling. J. Color Res. and App. 26(1), 76–84 (2001)CrossRefGoogle Scholar
  3. 3.
    Berns, R.S., Shyu, M.J.: Colorimetric characterization of a desk-top drum scanner using a spectral model. J. Electronic Imag. 4, 360–372 (1995)CrossRefGoogle Scholar
  4. 4.
    Suzuki, S., Kusunoki, T., Mori, M.: Color characteristic design for color scanners. Applied Optics 29, 5187–5192 (1990)CrossRefGoogle Scholar
  5. 5.
    Hung, P.C.: Colorimetric calibration in electronic imaging devices using a look-up tables model and interpolations. J. Electronic Imag. 2(1), 53–61 (1993)CrossRefGoogle Scholar
  6. 6.
    Hung, P.C.: Colorimetric calibration for scanners and media. In: Proc. SPIE, vol. 1448, pp. 164–174 (1991)Google Scholar
  7. 7.
    Kang, H.R.: Color scanner calibration. J. Imaging Sci. and Tech. 36, 162–170 (1992)Google Scholar
  8. 8.
    Kang, H.R., Anderson, P.G.: Neural network application to the color scanner and printer calibration. J. Electronic Imag. 1, 125–134 (1992)CrossRefGoogle Scholar
  9. 9.
    Kang, H.R.: The color technology for electronic imaging devices. In: SPIE (1997)Google Scholar
  10. 10.
    Johnson, T.: Methods for characterizing color scanners and digital cameras. Displays 16, 183–191 (1996)CrossRefGoogle Scholar
  11. 11.
    Benson, K.B., Whitaker, J.C.: Television Engineering Handbook. McGraw-Hill, New York (1992)Google Scholar
  12. 12.
    Bailey Neal, C.: Television colorimetry for receiver engineers. IEEE Trans. BTR BTR-19, 149–162 (1973)Google Scholar
  13. 13.
    Hunt, R.W.G.: The Reproduction of Colour in Photography, Printing & Television, pp. 177–196. Fountain Press, England (1987)Google Scholar
  14. 14.
    VESA Display Metrology Committee: Flat Panel Display Measurements Standard. VESA, 115 (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Soo-Wook Jang
    • 1
  • Eun-Su Kim
    • 1
  • Sung-Hak Lee
    • 1
  • Kyu-Ik Sohng
    • 1
  1. 1.School of Electronic Engineering and Computer ScienceKyungpook National UniversityDaeguKorea

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