Recovering fluorescent spectra with an RGB digital camera and color filters using different matrix factorizations

Applied Optics

Volumn 46, Issue 19, 2007, Pages 4144-4154

  Nieves, Juan L ^a   Valero, Eva M ^a   Hernández Andrés, Javier ^a   Romero, Javier ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CHARGE COUPLED DEVICES; IMAGE SENSORS; INDEPENDENT COMPONENT ANALYSIS; PIXELS; PRINCIPAL COMPONENT ANALYSIS; SPECTRUM ANALYSIS;

COLOR FILTERS; IMAGE PIXELS; MULTISPECTRAL SYSTEMS; SPECTRAL POWER DISTRIBUTION (SPD);

DIGITAL CAMERAS;

ALGORITHM; ANALYSIS OF VARIANCE; ARTICLE; COLORIMETRY; COMPUTER PROGRAM; IMAGE PROCESSING; INSTRUMENTATION; LIGHT; METHODOLOGY; OPTICS; PRINCIPAL COMPONENT ANALYSIS; SPECTROFLUOROMETRY; SPECTROPHOTOMETRY; STATISTICAL MODEL; THEORETICAL MODEL; VIDEORECORDING;

ALGORITHMS; ANALYSIS OF VARIANCE; COLORIMETRY; IMAGE PROCESSING, COMPUTER-ASSISTED; LIGHT; MODELS, STATISTICAL; MODELS, THEORETICAL; OPTICS; PRINCIPAL COMPONENT ANALYSIS; SOFTWARE; SPECTROMETRY, FLUORESCENCE; SPECTROPHOTOMETRY; VIDEO RECORDING;

EID: 34447522209     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.46.004144     Document Type: Conference Paper

References (35)

1. F. H. Imai, R. 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, 280-371 (2000).
2. J. Hardeberg, F. Schmitt, and H. Brettel, "Multispectral color image capture using a liquid crystal tunable filter," Opt. Eng. 41, 2532-2548 (2002).
3. F. H. Imai and R. S. Berns, "Spectral estimation of oil paints using multi-filter trichromatic imaging," in Proceedings of the Ninth Congress of the International Colour Association (Rochester, 2001), pp. 504-507.
4. J. Hernández-Andrés, J. L. Nieves, E. Valero, and J. Romero, "Spectral-daylight recovery by use of only a few sensors," J. Opt. Soc. Am. A 21, 13-23 (2004).
5. M. A. Lopez-Alvarez, J. Romero, R. L. Lee, Jr., and J. Hernández-Andrés, "Designing a practical system for spectral imaging of skylight," Appl. Opt. 44, 5688-5695 (2005).
6. M. A. López-Alvarez, J. Hernández-Andrés, E. 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).
7. J. L. Nieves, E. Valero, S. M. C. Nascimento, J. Hernández- Andrés, and J. Romero, "Multispectral synthesis of daylight using a commercial digital CCD camera," Appl. Opt. 44, 5696-5703 (2005).
8. C.-C. Chiao, D. Osorio, M. Vorobyev, and T. W. Cronin, "Characterization of natural illuminants in forests and the use of digital video data to reconstruct illuminant spectra," J. Opt. Soc. Am. A 17, 1713-1721 (2000).
9. S. M. C. Nascimento, F. P. Ferreira, and D. H. Foster, "Statistics of spatial cone-excitation ratios in natural scenes," J. Opt. Soc. Am. A 19, 1484-1490 (2002).
10. J. Romero, A. García-Beltrán, and J. Hernández- Andrés, "Linear bases for representation of natural and artificial iluminants," J. Opt. Soc. Am. A 14, 1007-1014 (1997).
11. J. Hernández-Andrés, J. Romero, A. García- Beltrán, and J. L. Nieves, "Testing linear models on spectral daylight measurements," Appl. Opt. 37, 971-977 (1998).
12. J. Hernández-Andrés, J. Romero, J. L. Nieves, and R. L. Lee, Jr., "Color and spectral analysis of daylight in southern Europe," J. Opt. Soc. Am. A 18, 1325-1335 (2001).
13. W. K. Pratt and C. E. Mancill, "Spectral estimation techniques for the spectral calibration of a color image scanner," Appl. Opt. 14, 73-75 (1975).
14. S. Tominaga, S. Ebisui, and B. A. Wandelt, "Scene illuminant classification: brighter is better," J. Opt. Soc. Am. A 1, 55-64 (2001).
15. S. Tominaga, "Natural image database and its use for scene illuminant estimation," J. Electronic Imaging 11, 434-444 (2002).
16. S. Tominaga and B. A. Wandell, "Natural scene-illuminant estimation using the sensor correlation," in Proceedings of IEEE 90 (IEEE, 2002), pp. 42-56.
17. S. Tominaga and H. Haraguchi, "A spectral imaging method for classifying fluorescent scene illuminants," in Proceedings of the Tenth Congress of the International Colour Association (Granada, 2005), pp. 193-196.
18. 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 7, 1231-1240 (2005).
19. E. M. Valero, J. L. Nieves, S. M. C. Nascimento, K. Amano, and D. H. Foster, "Recovering spectral data from natural scenes with an RGB digital camera," Color Res. Appl. (to be published).
20. W. Xiong and B. Funt, "Independent component analysis and nonnegative linear model analysis of illuminant and reflectance spectra," in Proceedings of the Tenth Congress of the International Colour Association (Granada, 2005), pp. 503-506.
21. S. Bergner and M. S. Drew, "Spatiotemporal-chromatic structure of natural scenes," presented at the International Conference on Image Processing, Genova, Italy, 11-14 Sept. 2005.
22. L. T. Maloney and B. A. Wandell, "Color constancy: a method for recovering surface spectral reflectance," J. Opt. Soc. Am. A 3, 23-33 (1986).
23. M. D'Zmura and G. Iverson, "Color constancy. I. Basic theory of two-stage linear recovery of spectral descriptions for lights and surfaces," J. Opt. Soc. Am. A 10, 2148-2165 (1993).
24. K. Barnard, L. Martin, B. Funt, and A. Coath, "A data set for color research," Color Res. Appl. 27, 147-151 (2002).
25. Commission Internationale d'l'Eclairage, Colorimetry, Publication CIE No. 15.2 (1986).
26. P. Paatero and U. Tapper, "Positive matrix factorization: a non-negative factor model with optimal utilization of error estimates of data values," Environmetrics 5, 111-126 (1994).
27. A. J. Bell and T. J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Comput. 7, 1129-1159 (1995).
28. D. D. Lee and H. S. Seung, "Algorithms for non-negative matrix factorization," Adv. Neural Info. Proc. Syst. 13, 556-562 (2001).
29. A. Hyvärinen, "Fast and robust fixed-point algorithms for independent component analysis," IEEE Trans. Neural Netw. 10, 626-634 (1999).
30. F. H. Imai, M. R. Rosen, and R. S. Berns, "Comparative study of metrics for spectral match quality," in Proceedings of the First European Conference on Colour in Graphics, Imaging and Vision (Society for Imaging Science and Technology, 2002), pp. 492-496.
31. M. J. Vrhel, R. Gershon, and L. S. Iwan, "Measurement and analysis of object reflectance spectra," Color Res. Appl. 19, 4-9 (1994).
32. G. Finlayson, "Spectral sharpening: what is it and why is it important," in Proceedings of the First European Conference on Colour in Graphics, Imaging and Vision (Society for Imaging Science and Technology, 2002), pp. 230-235.
33. National Institute of Standards and Technology (NIST) http://physics.nist.gov/Divisions/Div844/Newrad/abstracts/NadalPoster.htm.
34. S. Wild, "Seeding non-negative matrix factorizations with the spherical K-Means clustering," M.Sc. thesis (University of Colorado, 2003).
35. G. D. Finlayson, S. D. Hordley, and P. M. Hubel, "Color by correlation: a simple, unifying framework for color constancy," IEEE Trans. Pattern Anal. Mach. Intell. 23, 1209-1221 (2001).