Comparative analysis of spectral reflectance estimated in various spaces using a trichromatic camera system

Journal of Imaging Science and Technology

Volumn 44, Issue 4, 2000, Pages 280-287

  Imai, Francisco H ^a   Berns, Roy S ^a   Tzeng, Di Y ^a,b  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^b Applied Science Fiction   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; IMAGE RECONSTRUCTION; LIGHT REFLECTION; SPECTRUM ANALYSIS; STATISTICAL METHODS;

PRINCIPAL COMPONENT ANALYSIS; SPECTRAL REFLECTANCE FACTORS; TRICHROMATIC CAMERA SYSTEMS;

IMAGE ANALYSIS;

EID: 0034226415     PISSN: 10623701     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. F. H. Imai and R. S. Berns, High-resolution multi-spectral image archives: A hybrid approach, in IS&T/SID Sixth Color Imaging Conference: Color Science, Systems, and Applications, IS&T, Springfield, VA, 1998, pp. 224-227.
2. R. S. Berns, F. H. Imai, P. D. Burns and Di-Y. Tzeng, Multi-spectralbased color reproduction research at the Munsell Color Science Laboratory, Proc. SPIE 3409, 14-25 (1998).
3. R. S. Berns, Challenges for color science in multimedia imaging, in L. MacDonald and M. R. Luo, Eds., Colour Imaging: Vision and Technology, John Wiley & Sons, Chichester, 1998, pp. 99-127.
4. F. H. Imai and R. S. Berns, Spectral Estimation Using Trichromatic Digital Cameras, in International Symposium on Multispectral Imaging and Color Reproduction for Digital Archives, 1999, pp. 42-49.
5. F. H. Imai and R. S. Berns, A comparative analysis of spectral reflectance reconstruction in various spaces using a trichromatic camera system, in IS&T/SID Seventh Color Imaging Conference: Color Science, Systems, and Applications, IS&T, Springfield, VA, 1999, pp. 21-25.
6. J. Y. Hardeberg, H. Brettel, and F. Schmitt, Spectral characterization of electronic cameras, Proc. SPIE 3409, 100-109 (1998).
7. H. Maitre, F. J. M. Schmitt, J-P. Crettez, Y. Wu and J. Y. Hardeberg, Spectrophotometric image analysis of fine art paintings, in IS&T/SID Fourth Color Imaging Conference: Color Science, Systems, and Applications, IS&T, Springfield, VA, 1996, pp. 50-53.
8. S. Baronti, A. Casini, F. Lotti and S. Porcinai, Multispectral imaging system for the mapping of pigments in works of art by use of principal-component analysis, Appl. Opt. 37, 1229-1309 (1998).
9. F. König, Reconstruction of natural spectra from a color sensor using nonlinear estimation methods, in IS&T's 50th Annual Conference, IS&T, Springfield, VA, 1997, pp. 454-458.
10. F. König and W. Præfke, The practice of multispectral image acquisition, in Electronic Imaging: Processing, Printing, and Publishing in Color, Jan Bares, Ed., Proc. SPIE 3409, 34-41 (1998).
11. W. Præfke, Analysis-synthesis transforms versus orthogonal transforms for coding reflectance spectra, in IS&T/SID Fifth Color Imaging Conference: Color Science, Systems, and Applications, IS&T, Springfield, VA, 1997, pp. 177-181.
12. W. Præfke, Transform coding of reflectances spectra using smooth basis vectors, J. Imaging Sci. Technol. 40, 543-548 (1996).
13. Y. Miyake, Y. Yokoyama, N. Tsumura, H. Haneishi, K. Miyata and J. Hayashi, Development of multiband color imaging systems for recording of art paintings, Proc. SPIE 3648, 218-225 (1999).
14. H. Haneishi, T. Hasegawa, N. Tsumura and Y. Miyake, Design of color filters for recording artworks, in IS&T's 50th Annual Conference, IS&T, Springfield, VA, 1997, pp. 369-372.
15. S. Tominaga, Spectral Imaging by a Multi-Channel Camera, Proc. SPIE 3648, 38-47 (1999).
16. M. J. Vrhel and H. J. Trussel, Color correction using principal components, Color Res. Appl. 17, 328-338 (1992).
17. M. J. Vrhel, R. Gershon and L. S. Iwan, Measurement and analysis of object reflectance spectra, Color Res. Appl. 19, 4-9 (1994).
18. D. S. S. Vent, Multichannel analysis of object-color spectra, M.S. Thesis, Rochester Institute of Technology, Rochester, NY, 1994.
19. P. D., Burns, Analysis of image noise in multi-spectral color acquisition, Ph. D. Thesis, Rochester Institute of Technology, Rochester, NY, 1997.
20. P. D. Burns and R. S. Berns, Error propagation analysis in color measurement and imaging, Color Res. Appl. 22, 280-289, (1997).
21. D-Y. Tzeng, Spectral-based color separation algorithm development, Ph. D. Thesis, Rochester Institute of Technology, Rochester, NY, 1999.
22. P. Kubelka, and F. Munk, Ein Beitrag zur Optik der Farbenstriche, Z. Tech. Phys. 12, 593-601 (1931).
23. E. Allen, Colorant Formation and Shading, in Optical Radiation Measurements, Vol. 2, Color Measurmement, F. Grum and C. J. Bartleson, Eds., Academic Press, New York, 1980, pp. 290-336.
24. R. S. Berns, A Generic Approach To Color Modeling, Color Res. Appl. 22, 318-325, (1997).
25. E. Allen, Basic equation used in computer color matching, J. Opt. Soc. Am. 56, 1256-1259 (1966).
26. rd ed., Prentice Hall, New Jersey, 1992.
27. F. H. Imai, Multi-spectral Image Acquisition and Spectral Reconstruction using a Trichromatic Digital Camera System Associated with Absorption Filters, Munsell Color Science Laboratory Technical Report, Rochester, NY, 1998, http://www.cis.rit.edu/research/mcsl/pubs/PDFs/ CameraReport.pdf.
28. H. S. Fairman, Metameric correction using parameric decomposition, Color Res. Appl., 12, 261-265 (1997).
29. J. Cupitt, D. Saunders and K. Martinez, Digital imaging in European museums, Proc. SPIE 3025, 144-151 (1997).
30. M. A. Rodriguez and T. G. Stockham, Producing colorimetric data from densitometric scans, Proc. SPIE 1913, 413-418 (1993).
31. R. S. Berns and M. J. Shyu, Colorimetric characterization of a desk-top drum scanner using a spectral model, J. Electron, Imag. 4, 360-372 (1995).