Study of the photodetector characteristics of a camera for color constancy in natural scenes

doi:10.1364/JOSAA.27.000286

Study of the photodetector characteristics of a camera for color constancy in natural scenes

Sivalogeswaran Ratnasingam and Steve Collins »View Author Affiliations

JOSA A, Vol. 27, Issue 2, pp. 286-294 (2010)
http://dx.doi.org/10.1364/JOSAA.27.000286

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Abstract
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Abstract

An algorithm is described to extract two features that represent the chromaticity of a surface and that are independent of both the intensity and correlated color temperature of the daylight illuminating a scene. For mathematical convenience this algorithm is derived using the assumptions that each photodetector responds to a single wavelength and that the spectrum of the illumination source can be represented by a blackbody spectrum. Neither of these assumptions will be valid in a real application. A new method is proposed to determine the effect of violating these assumptions. The conclusion reached is that two features can be obtained that are effectively independent of the daylight illuminant if photodetectors with a spectral response whose full width at half maximum is $80 nm$ or less are used.

OCIS Codes
(330.0330) Vision, color, and visual optics : Vision, color, and visual optics
(330.1690) Vision, color, and visual optics : Color
(330.1720) Vision, color, and visual optics : Color vision
(330.1730) Vision, color, and visual optics : Colorimetry
(150.1135) Machine vision : Algorithms
(150.6044) Machine vision : Smart cameras

ToC Category:
Vision, Color, and Visual Optics

History
Original Manuscript: August 5, 2009
Revised Manuscript: December 16, 2009
Manuscript Accepted: December 21, 2009
Published: January 25, 2010

Virtual Issues
Vol. 5, Iss. 4 Virtual Journal for Biomedical Optics

Citation
Sivalogeswaran Ratnasingam and Steve Collins, "Study of the photodetector characteristics of a camera for color constancy in natural scenes," J. Opt. Soc. Am. A 27, 286-294 (2010)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-27-2-286

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References

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G. D. Finlayson and M. S. Drew, “White-point preserving color correction,” in Proceedings of IS&T/SID 5th Color Imaging Conference (Society for Imaging Science and Technology, 1997), pp. 258-261.
J. Y. Hardeberg, “Acquisition and reproduction of color images: colorimetric and multispectral approaches,” Ph.D. dissertation (Ecole Nationale Supérieure des Télécommunications, 1999).
A. Abrardo, V. Cappellini, M. Cappellini, and A. Mecocci “Art-works colour calibration using the VASARI scanner,” in Proceedings of IS&T and SID's 4th Color Imaging Conference: Color Science, Systems and Applications (Society for Imaging Science and Technology,1996), pp. 94-97.
S. Ratnasingam, S. Collins, and J. Hernández-Andrés, “A method for designing and assessing sensors for chromaticity constancy in high dynamic range scenes,” in Proceedings of Color Imaging Conference CIC17 (EEUU, 2009), pp 15-20.
B. Fowler, “High dynamic range image sensor architectures,” High Dynamic Range Imaging Symposium and Workshop, Stanford University, California (2009), http://scien.stanford.edu/HDR/HDR_files/Conference%20Materials/Presentation%20Slides/Fowler_WDR_sensor_architectures_9_8_2009.pdf.
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Br. J. Appl. Phys.

T. Henderson and D. Hodgkiss, “The spectral energy distribution of daylight,” Br. J. Appl. Phys. 14, 125-133 (1963). [CrossRef]

Comput. Graph. Image Process.

B. K. P. Horn, “Determining lightness from an image,” Comput. Graph. Image Process. 3, (1974), pp. 277-299. [CrossRef]

Eng. Applic. Artif. Intell.

S. D. Buluswar and B. A. Draper, “Color machine vision for autonomous vehicles,” Eng. Applic. Artif. Intell. 11, pp. 245-256 (1998). [CrossRef]

J. Opt. Soc. Am

Y. Nayatani and G. Wyszecki, “Color of daylight from north sky,” J. Opt. Soc. Am . 53, 626-629 (1963). [CrossRef]

J. Opt. Soc. Am.

J. Opt. Soc. Am. A

J. Vision

L. T. Maloney, “Illuminant estimation as cue combination,” J. Vision 2, 493-504 (2002). [CrossRef]

Other

G. D. Finlayson and M. S. Drew, “White-point preserving color correction,” in Proceedings of IS&T/SID 5th Color Imaging Conference (Society for Imaging Science and Technology, 1997), pp. 258-261.
J. Y. Hardeberg, “Acquisition and reproduction of color images: colorimetric and multispectral approaches,” Ph.D. dissertation (Ecole Nationale Supérieure des Télécommunications, 1999).
A. Abrardo, V. Cappellini, M. Cappellini, and A. Mecocci “Art-works colour calibration using the VASARI scanner,” in Proceedings of IS&T and SID's 4th Color Imaging Conference: Color Science, Systems and Applications (Society for Imaging Science and Technology,1996), pp. 94-97.
S. Ratnasingam, S. Collins, and J. Hernández-Andrés, “A method for designing and assessing sensors for chromaticity constancy in high dynamic range scenes,” in Proceedings of Color Imaging Conference CIC17 (EEUU, 2009), pp 15-20.
B. Fowler, “High dynamic range image sensor architectures,” High Dynamic Range Imaging Symposium and Workshop, Stanford University, California (2009), http://scien.stanford.edu/HDR/HDR_files/Conference%20Materials/Presentation%20Slides/Fowler_WDR_sensor_architectures_9_8_2009.pdf.
S. E. J. Arnold, V. Savolainen, and L. Chittka, “The floral reflectance spectra database,” Nature Proceedingshttp://dx.doi.org/10.1038/npre.2008.1846.1.
Database--“Munnsell Colours Matt,” ftp://ftp.cs.joensuu.fi/pub/color/spectra/mspec/.
H. C. Lee, Introduction to Color Imaging Science (Cambridge Univ. Press, 2005), pp. 46-47, 450-459.
Munsell Color Science Laborartory, “Daylight spectra,” http://mcsl.rit.edu/.
G. D. Finlayson and M. S. Drew. “4-sensor camera calibration for image representation invariant to shading, shadows, lighting, and specularities,” in Proceedings of IEEE International Conference on Computer Vision(IEEE, 2001), pp. 473-480.
G. D. Finlayson, B. Schiele, and J. L. Crowley, “Comprehensive colour image normalization,” in H.Burkhard and B.Neumann, eds., Computer Vision--ECCV'98 (Springer, 1998), pp. 475-490.
M. Ebner, Color Constancy, Wiley Series in Imaging Science and Technology (Wiley, 2007).

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