OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 46, Iss. 28 — Oct. 1, 2007
  • pp: 7068–7082

Maximum a posteriori estimation of spectral reflectance from color image and multipoint spectral measurements

Yuri Murakami, Kunihiko Ietomi, Masahiro Yamaguchi, and Nagaaki Ohyama  »View Author Affiliations


Applied Optics, Vol. 46, Issue 28, pp. 7068-7082 (2007)
http://dx.doi.org/10.1364/AO.46.007068


View Full Text Article

Enhanced HTML    Acrobat PDF (2120 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Accurate color image reproduction under arbitrary illumination can be realized if the spectral reflectance functions in a scene are obtained. Although multispectral imaging is one of the promising methods to obtain the reflectance of a scene, it is expected to reduce the number of color channels without significant loss of accuracy. This paper presents what we believe to be a new method for estimating spectral reflectance functions from color image and multipoint spectral measurements based on maximum a posteriori (MAP) estimation. Multipoint spectral measurements are utilized as auxiliary information to improve the accuracy of spectral reflectance estimated from image data. Through simulations, it is confirmed that the proposed method improves the estimation accuracy, particularly when a scene includes subjects that belong to various categories.

© 2007 Optical Society of America

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.3190) Image processing : Inverse problems
(110.2990) Imaging systems : Image formation theory
(300.6550) Spectroscopy : Spectroscopy, visible

ToC Category:
Image Processing

History
Original Manuscript: April 16, 2007
Revised Manuscript: July 23, 2007
Manuscript Accepted: July 24, 2007
Published: September 28, 2007

Citation
Yuri Murakami, Kunihiko Ietomi, Masahiro Yamaguchi, and Nagaaki Ohyama, "Maximum a posteriori estimation of spectral reflectance from color image and multipoint spectral measurements," Appl. Opt. 46, 7068-7082 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-28-7068


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. P. D. Berns and R. S. Berns, "Analysis of multispectral image capture," in Proceedings of the Fourth Color Imaging Conference (Society for Imaging Science and Technology, 1996), pp. 19-22.
  2. B. Hill, "Color capture, color management, and the problem of metamerism," Proc. SPIE 3963, 3-14 (2000).
  3. H. Haneishi, T. Hasegawa, A. Hosoi, Y. Yokoyama, N. Tsumura, and Y. Miyake, "System design for accurately estimating spectral reflectance of art paintings," Appl. Opt. 39, 6621-6632 (2000). [CrossRef]
  4. M. Yamaguchi, R. Iwama, Y. Ohya, T. Obi, N. Ohyama, Y. Komiya, and T. Wada, "Natural color reproduction in the television system for telemedicine," Proc. SPIE 3031, 482-289 (1997). [CrossRef]
  5. M. Yamaguchi, T. Teraji, K. Ohsawa, T. Uchiyama, H. Motomura, Y. Murakami, and N. Ohyama, "Color image reproduction based on the multispectral and multiprimary imaging: experimental evaluation," Proc. SPIE 4663, 15-26 (2002). [CrossRef]
  6. M. Yamaguchi, H. Hideaki, H. Fukuda, J. Koshimoto, H. Kanazawa, M. Tsuchida, R. Iwama, and N. Ohyama, "High-fidelity video and still-image communication based on spectral information: natural vision system and its applications," Proc. SPIE 6062, 60620G (2006). [CrossRef]
  7. H. Sugiura, T. Kuno, N. Watanabe, N. Matoba, J. Hayashi, and Y. Miyake, "Development of highly accurate multispectral cameras," presented at International Symposium on Multispectral Imaging and Color Reproduction for Digital Archives, Chiba, Japan, 21-22 October 1999.
  8. H. Fukuda, T. Uchiyama, H. Haneishi, M. Yamaguchi, and N. Ohyama, "Development of 16-band multispectral image archiving system," Proc. SPIE 5667, 136-145 (2002). [CrossRef]
  9. K. Ohsawa, T. Ajito, H. Fukuda, Y. Komiya, H. Haneishi, M. Yamaguchi, and N. Ohyama, "Six-band HDTV camera system for spectrum-based color reproduction," J. Imaging Sci. Technol. 48, 85-92 (2004).
  10. F. Konig, "Reconstruction of natural spectra from color sensor using nonlinear estimation method," in Proceedings of IS&T's 50th Annual Conference: A Celebration of All of Imaging (Society for Imaging Science and Technology, 1997), pp. 454-458.
  11. Y. Murakami, T. Obi, M. Yamaguchi, and N. Ohyama, "Nonlinear estimation of spectral reflectance based on Gaussian mixture distribution for color image reproduction," Appl. Opt. 41, 4840-4847 (2002). [CrossRef] [PubMed]
  12. J. M. DiCarlo and B. A. Wandell, "Spectral estimation theory: beyond linear but before Bayesian," J. Opt. Soc. Am. A 20, 1261-1270 (2003). [CrossRef]
  13. J. C. Price, "Combining panchromatic and multispectral imagery from dual resolution satellite instruments," Remote Sens. Environ. 21, 119-128 (1987). [CrossRef]
  14. D. P. Filiberti, S. E. Marsh, and R. A. Schowengerdt, "Synthesis of imagery with high spatial and spectral resolution from multiple image sources," Opt. Eng. 33, 2520-2528 (1994). [CrossRef]
  15. R. C. Hardie, M. T. Eismann, and G. L. Wilson, "MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor," IEEE Trans. Image Process. 13, 1174-1184 (2004). [CrossRef] [PubMed]
  16. M. T. Eismann and R. C. Hardie, "Application of the stochastic mixing model to hyperspectral resolution enhancement," IEEE Trans. Image Process. 42, 1924-1933 (2004).
  17. M. T. Eismann and R. C. Hardie, "Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions," IEEE Trans. Image Process. 43, 455-465 (2005).
  18. W. Menke, Geophysical Data Analysis: Discrete Inverse Theory (Academic, 1989).
  19. W. K. Pratt, Digital Image Processing (Wiley, 1978).
  20. B. R. Hunt and A. Kubler, "Karhunen-Loeve multispectral image restoration, part I: theory," IEEE Trans. Acoust. Speech Signal Process. ASSP-32, 592-600 (1984). [CrossRef]
  21. A. K. Jain, "Two-dimensional systems and mathematical preliminaries," in Fundamentals of Digital Image Processing, T. Kailath, ed. (Prentice Hall, 1989), pp. 11-48.
  22. W. K. Pratt and C. E. Mancill, "Spectral estimation techniques for the spectral calibration of a color image scanner," Appl. Opt. 15, 73-75 (1976). [CrossRef] [PubMed]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article

OSA is a member of CrossRef.

CrossCheck Deposited