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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 21, Iss. 7 — Jul. 1, 2004
  • pp: 1125–1130

Spectral characterization of a color scanner by adaptive estimation

Hui-Liang Shen and John H. Xin  »View Author Affiliations


JOSA A, Vol. 21, Issue 7, pp. 1125-1130 (2004)
http://dx.doi.org/10.1364/JOSAA.21.001125


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Abstract

A new method of spectral characterization for color scanners by the use of adaptive estimation is proposed. It deals with estimation of high-dimensional reflectance vectors from low-dimensional scanner response vectors when the scanner departs from linearity. We first investigate the spectral linearity of the scanner, and then estimate the spectral reflectance adaptively based on the local statistics of a set of neighboring training samples. As the proposed characterization method does not utilize the mathematically recovered spectral responsivity, its inherent inaccuracy is not critical to the spectral characterization. Experimental results showed significant advantage of adaptive estimation when compared with other methods.

© 2004 Optical Society of America

OCIS Codes
(330.1710) Vision, color, and visual optics : Color, measurement
(330.1730) Vision, color, and visual optics : Colorimetry

Citation
Hui-Liang Shen and John H. Xin, "Spectral characterization of a color scanner by adaptive estimation," J. Opt. Soc. Am. A 21, 1125-1130 (2004)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-21-7-1125


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References

  1. L. W. MacDonald and M. R. Luo, Color Imaging: Vision and Technology (Wiley, Chichester, UK, 1999).
  2. G. W. Hong, M. R. Luo, and P. A. Rhodes, “A study of digital camera colorimetric characterization based on polynomial modeling,” Color Res. Appl. 26, 76–84 (2001).
  3. H. R. Kang, “Color scanner calibration,” J. Imaging Sci. Technol. 36, 162–170 (1992).
  4. P. C. Hung, “Colorimetric calibration for scanners and media,” in Camera and Input Scanner Systems, W. C. Chang and J. R. Milch, eds., Proc. SPIE 1448, 164–174 (1991).
  5. P. C. Hung, “Colorimetric calibration in electronic imaging devices using a look-up-table in interpolations,” J. Electron. Imaging 2, 53–61 (1993).
  6. H. R. Kang and P. G. Anderson, “Neural network applications to the color scanner and printer calibrations,” J. Electron. Imaging 1, 125–134 (1992).
  7. S. Tominaga, “A neural network approach to color reproduction in color printers,” Proceedings of First IS&T/SID Color Imaging Conference: Transforms and Transportability of Color (Society for Imaging Science and Technology, Springfield, Va., 1993), pp. 173–177.
  8. G. Sharma and H. J. Trussell, “Characterization of scanner sensitivity,” Proceedings of First IS&T/SID Color Imaging Conference: Transforms and Transportability of Color (So-ciety for Imaging Science and Technology, Springfield, Va., 1993), pp. 103–107.
  9. J. E. Farrell and B. A. Wandell, “Scanner linearity,” J. Electron. Imaging 2, 225–230 (1993).
  10. G. Sharma and H. J. Trussell, “Set theoretic estimation in color scanner characterization,” J. Electron. Imaging 5, 479–489 (1996).
  11. K. Barnard and B. Funt, “Camera characterization for color research,” Color Res. Appl. 27, 152–163 (2002).
  12. P. L. Vora, J. E. Farrell, J. D. Tietz, and D. H. Brainard, “Image capture: simulation of sensor responses from hyperspectral images,” IEEE Trans. Image Process. 10, 307–316 (2001).
  13. M. Thomson and S. Westland, “Colour-imager characterization by parametric fitting of sensor responses,” Color Res. Appl. 26, 442–449 (2001).
  14. M. Shi and G. Healey, “Using reflectance models for color scanner calibration,” J. Opt. Soc. Am. A 19, 645–656 (2002).
  15. J. M. Dicarlo and B. A. Wandell, “Spectral estimation theory: beyond linear but before Bayesian,” J. Opt. Soc. Am. A 20, 1261–1270 (2003).
  16. H. Haneishi, T. Hasegawa, A. Hosoi, Y. Yokoyama, N. Tsumura, and Y. Miyake, “System design for accurately estimating the spectral reflectance of art paintings,” Appl. Opt. 39, 6621–6632 (2000).
  17. F. H. Imai and R. S. Berns, “A comparative analysis of spectral reflectance estimation in various spaces using a trichromatic camera system,” J. Imaging Sci. Technol. 44, 280–287 (2000).
  18. G. Sharma and H. J. Trussell, “Digital color imaging,” IEEE Trans. Image Process. 6, 901–932 (1997).
  19. M. H. Hayes, Statistical Digital Signal Processing and Modeling (Wiley, New York, 1996).
  20. W. K. Pratt, Digital Image Processing, 2nd ed. (Wiley, New York, 1991).
  21. Y. Murakami, T. Obi, M. Yamaguchi, N. Ohyama, and Y. Komiya, “Spectral reflectance estimation from multi-band image using color chart,” Opt. Commun. 188, 47–54 (2001).

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