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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 29, Iss. 34 — Dec. 1, 1990
  • pp: 5187–5192

Color characteristic design for color scanners

Shoji Suzuki, Tadakazu Kusunoki, and Masahiro Mori  »View Author Affiliations


Applied Optics, Vol. 29, Issue 34, pp. 5187-5192 (1990)
http://dx.doi.org/10.1364/AO.29.005187


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Abstract

We propose a method of quantitative color characteristic design for color scanners. We used colorimetric simulation with an optical model and a color conversion circuit to match the scanner color characteristic to an color standard. A compensation matrix is defined using the least-squares method to minimize the objective error for many colors. To determine the matrix, a color space must be selected. We compared the results of conversion using matrices obtained in the CIELAB color space and in the RGB color space. The comparison shows that both conversions are nearly the same. Using computer simulation, we designed a color scanner with excellent conversion performance. The average color difference for 440 colors was ~1.3.

© 1990 Optical Society of America

History
Original Manuscript: January 4, 1990
Published: December 1, 1990

Citation
Shoji Suzuki, Tadakazu Kusunoki, and Masahiro Mori, "Color characteristic design for color scanners," Appl. Opt. 29, 5187-5192 (1990)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-29-34-5187


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References

  1. F. Nagano, S. Misaka, H. Mori, “Desktop Color Document Scanner,” in Proceedings, SID International Symposium, Orlando (Oct. 1985), pp. 40–41.
  2. R. Takeuchi, M. Tsumura, M. Tadauchi, H. Shio, “Color Image Scanner with an RGB Linear Image Sensor,” J. Imaging Technol. 14, 68–72 (1988).
  3. M. Katoh, T. Hamaguchi, T. Satoh, O. Yashima, H. Ishikura, “A Contact Type Color Image Sensor and its Color Reproduction Characterictics,” in Proceedings, IGC, 2 Electronic Imaging ’89 West, Pasadena (Mar. 1989), pp. 556–561.
  4. S. Suzuki, T. Tsuda, M. Mori, “A Filter-Alternating Color Scanner,” in Proceedings, IGC, 2 Electronic Imaging ’88 East, Boston (Oct. 1988), pp. 1018–1023.
  5. R. H. Wallis, “Appendix B. Multidimensional Mappings, and Least-Squares Curve Fitting of Surfaces,” Film Recording of Digital Color Image, Los Angeles, USCIPI Report 570 (1975), pp. 174–178.
  6. D. W. Marquardt, “An Algorithm for Least-Squares Estimation of Nonlinear Parameters,” SIAM (Soc. Ind. Appl. Math.) J. Appl. Math. 11, 431–441 (1963). [CrossRef]

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