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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

  • Editor: Stephen A. Burns
  • Vol. 24, Iss. 10 — Oct. 1, 2007
  • pp: 3211–3219

Recovery of spectral reflectances of objects being imaged by multispectral cameras

Noriyuki Shimano, Kenichiro Terai, and Mikiya Hironaga  »View Author Affiliations


JOSA A, Vol. 24, Issue 10, pp. 3211-3219 (2007)
http://dx.doi.org/10.1364/JOSAA.24.003211


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Abstract

Acquisition of spectral information of objects being imaged through the use of sensor responses is important to reproduce color images under various illuminations. In the past several models have been proposed to recover the spectral reflectances from sensor responses. The accuracy of the spectral reflectances recovered by five different models is compared by using multispectral cameras. It is shown that the Wiener estimation that uses the noise variance estimated as proposed in IEEE Trans. Image Process. 15, 1848 (2006) recovers the spectral reflectances more accurately than the others when the test samples are different from learning samples.

© 2007 Optical Society of America

OCIS Codes
(150.0150) Machine vision : Machine vision
(330.1690) Vision, color, and visual optics : Color
(330.1730) Vision, color, and visual optics : Colorimetry
(330.6180) Vision, color, and visual optics : Spectral discrimination

ToC Category:
Vision, Color, and Visual Optics

History
Original Manuscript: February 15, 2007
Revised Manuscript: June 8, 2007
Manuscript Accepted: June 24, 2007
Published: September 19, 2007

Virtual Issues
Vol. 2, Iss. 11 Virtual Journal for Biomedical Optics

Citation
Noriyuki Shimano, Kenichiro Terai, and Mikiya Hironaga, "Recovery of spectral reflectances of objects being imaged by multispectral cameras," J. Opt. Soc. Am. A 24, 3211-3219 (2007)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-24-10-3211


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References

  1. M. D. Fairchild, Color Appearance Models (Addison-Wesley, 1997).
  2. Y. Miyake and Y. Yokoyama, "Obtaining and reproduction of accurate color images based on human perception," Proc. SPIE 3300, 190-197 (1998). [CrossRef]
  3. K. Martinez, J. Cupitt, D. Saunders, and R. Pillay, "Ten years of art imaging research," Proc. IEEE 90, 28-41 (2002). [CrossRef]
  4. H. C. Lee, E. J. Breneman, and C. P. Schulte, "Modeling light reflection for computer color vision," IEEE Trans. Pattern Anal. Mach. Intell. 12, 79-86 (1990). [CrossRef]
  5. G. Healey and D. Slater, "Global color constancy: recognition of objects by use of illumination-invariant properties of color distributions," J. Opt. Soc. Am. A 11, 3003-3010 (1994). [CrossRef]
  6. G. J. Klinker, S. A. Shafer, and T. Kanade, "A physical approach to color image understanding," Int. J. Comput. Vis. 4, 7-38 (1990). [CrossRef]
  7. L. T. Maloney and B. A. Wandell, "Color constancy: a method for recovering surface spectral reflectance," J. Opt. Soc. Am. A 3, 29-33 (1986). [CrossRef] [PubMed]
  8. J. Ho, B. V. Funt, and M. S. Drew, "Separating a color signal into illumination and surface reflectance components: theory and applications," IEEE Trans. Pattern Anal. Mach. Intell. 12, 966-977 (1990). [CrossRef]
  9. G. Iverson and M. D'Zumura, "Criteria for color constancy in trichromatic linear models," J. Opt. Soc. Am. A 11, 1970-1975 (1994). [CrossRef]
  10. A. Rosenfeld and A. C. Kak, Digital Picture Processing, 2nd ed. (Academic, 1982).
  11. G. Sharma and H. J. Trussell, "Figures of merit for color scanners," IEEE Trans. Image Process. 6, 990-1001 (1997). [CrossRef] [PubMed]
  12. H. Haneishi, T. Hasegawa, N. 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). [CrossRef]
  13. J. Cohen, "Dependency of spectral reflectance curves of the Munsell color chips," Psychon. Sci. 1, 369-370 (1964).
  14. L. T. Maloney, "Evaluation of linear models of surface spectral reflectance with small numbers of parameters," J. Opt. Soc. Am. A 3, 1673-1683 (1986). [CrossRef] [PubMed]
  15. J. P. S. Parkkinen, J. Hallikainen, and T. Jaaskelainen, "Characteristic spectra of Munsell colors," J. Opt. Soc. Am. A 6, 318-322 (1989). [CrossRef]
  16. J. L. Dannemiller, "Spectral reflectance of natural objects: how many basis functions are necessary?" J. Opt. Soc. Am. A 9, 507-515 (1992). [CrossRef]
  17. A. A. Afifi and S. P. Azen, Statistical Analysis, (Academic, 1972), Chap. 3.
  18. Y. Zhao, L. A. Taplin, M. Nezamabadi, and R. S. Berns, "Using the matrix R method for spectral image archives," in Proceedings of The 10th Congress of the International Colour Association(AIC'5) (International Colour Association, 2005), pp. 469-472.
  19. H. L. Shen and H. H. Xin, "Spectral characterization of a color scanner based on optimized adaptive estimation," J. Opt. Soc. Am. A 23, 1566-1569 (2006). [CrossRef]
  20. D. Connah, J. Y. Hardeberg, and S. Westland, "Comparison of linear spectral reconstruction methods for multispectral imaging," Proceedings of IEEE's International Conference on Image Processing (IEEE, 2004), pp. 1497-1500.
  21. Y. Zhao, L. A. Taplin, M. Nezamabadi, and R. S. Berns, "Methods of spectral reflectance reconstruction for a Sinarback 54 digital camera," Munsell Color Science Laboratory Technical Report December 2004, (Munsell Color Science Laboratory, 2004), pp. 1-36.
  22. D. Connah and J. Y. Hardeberg, "Spectral recovery using polynomial models," Proc. SPIE 5667, 65-75 (2005). [CrossRef]
  23. J. L. Nieves, E. M. Valero, S. M. C. Nascimento, J. H. Andrés, and J. Romero, "Multispectral synthesis of daylight using a commercial digital CCD camera," Appl. Opt. 44, 5696-5703 (2005). [CrossRef]
  24. F. H. Imai and R. S. Berns, "Spectral estimation using trichromatic digital cameras," in Proceedings of International Symposium on Multispectral Imaging and Color Reproduction for Digital Archives, (Society of Multispectral Imaging, 1999), pp. 42-49.
  25. B. Noble and J. W. Daniel, Applied Linear Algebra, 3rd. ed (Prentice-Hall, 1988), pp. 338-346.
  26. M. A. López-Álvarez, J. Hernández-Andrés, Eva. M. Valero, and J. Romero, "Selecting algorithms, sensors and linear bases for optimum spectral recovery of skylight," J. Opt. Soc. Am. A 24, 942-956 (2007). [CrossRef]
  27. V. Cheung, S. Westland, C. Li, J. Hardeberg, and D. Connah, "Characterization of trichromatic color cameras by using a new multispectral imaging technique," J. Opt. Soc. Am. A 22, 1231-1240 (2005). [CrossRef]
  28. M. Shi and G. Healey, "Using reflectance models for color scanner calibration," J. Opt. Soc. Am. A 19, 645-656 (2002). [CrossRef]
  29. F. H. Imai, R. S. Berns, and D.-Y. Tzeng, "A comparative analysis of spectral reflectance estimated in various spaces using a trichromatic camera system," J. Imaging Sci. Technol. 44, 280-287 (2000).
  30. G. D. Finlayson and P. Morovic, "Metamer sets," J. Opt. Soc. Am. A 22, 810-819 (2006). [CrossRef]
  31. P. Morovic and G. D. Finlayson, "Metamer-set-based approach to estimating surface reflectance from camera RGB," J. Opt. Soc. Am. A 23, 1814-1822 (2006). [CrossRef]
  32. A. Alsam and D. Connah, "Recovering natural reflectances with convexity," Proceedings of the 10th Congress of the International Colour Association (AIC'5) (International Colour Association, 2005), pp. 1677-1680.
  33. A. Mansouri, F. S. Marzani, and P. Gouton, "Neural networks in two cascade algorithms for spectral reflectance reconstruction," in Proceedings of IEEE International Conference on Image Processing (IEEE, 2005), pp. 2053-2056.
  34. N. Shimano, "Recovery of spectral reflectances of an art painting without prior knowledge of objects being imaged," in Proceedings of The 10th Congress of the International Colour Association (International Color Association, 2005), pp. 375-378.
  35. N. Shimano, "Estimation of noise variance of a multispectral image acquisition system," Proc. SPIE 6062, 60620B-1-60620B-8 (2006).
  36. N. Shimano, "Recovery of spectral reflectances of objects being imaged without prior knowledge," IEEE Trans. Image Process. 15, 1848-1856 (2006). [CrossRef] [PubMed]
  37. G. H. Golub and C. F. V. Loan, Matrix Computations, 3rd ed. (Johns Hopkins U. Press, 1996), p. 55.
  38. N. Shimano, "Suppresion of noise effects in color correction by spectral sensitivities of image sensors," Opt. Rev. 8, 71-77 (2002). [CrossRef]
  39. N. Shimano, "Application of a colorimetric evaluation model to multispectral color image acquisition systems," J. Imaging Sci. Technol. 49, 588-593 (2006).
  40. N. Shimano, "Optimization of spectral sensitivities with Gaussian distribution functions for a color image acquisition device in the presence of noise," Opt. Eng. 45, 013201 (2006). [CrossRef]

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