Sensor-response-ratio constancy under changes in natural and artificial illuminants

Color Research and Application

Volumn 32, Issue 4, 2007, Pages 284-292

  Romero, Javier ^a   Partal, Daniel ^a   Nieves, Juan L ^a   Hernández Andrés, Javier ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Color constancy; Color imaging; Illuminants

Indexed keywords

COLOR IMAGE PROCESSING; COLOR MATCHING; IMAGE ANALYSIS; LUMINANCE; OPTICAL SENSORS;

COLOR CONSTANCY; COLOR IMAGING; CORRELATED COLOR TEMPERATURE (CCT); ILLUMINANTS; SENSOR-RESPONSE-RATIO CONSTANCY;

COLOR;

EID: 34347404148     PISSN: 03612317     EISSN: 15206378     Source Type: Journal    
DOI: 10.1002/col.20329     Document Type: Article

References (23)

1. Dannemiller JL. Rank orderings of photoreceptor photon catches from natural objects are nearly illuminant-invariant. Vision Res 1993; 33:131-140.
2. Foster DH, Nascimento SMC. Relational colour constancy from invariant cone-excitation ratios. Proc R Soc Lond B 1994;257:115-121.
3. Zaidi Q, Spehar B, DeBonet J. Color constancy in variegated scenes: Role of low-level mechanisms in discounting illumination changes. J Opt Soc Am A 1997;14:2608-2621.
4. Zaidi Q. Identification of illuminant and object colors: Heuristic-based algorithms. J Opt Soc Am A 1998;15:1767-1776.
5. Nascimento SMC, Ferreira FP, Foster DH. Statistic of spatial cone-excitation ratios in natural scenes. J Opt Soc Am A 2002;19:1484-1490.
6. Nascimento SMC, Foster DH. Detecting natural changes of cone-excitation ratios in simple and complex coloured images. Proc R Soc Lond B 1997;264:1395-1402.
7. Hurlbert A. Computational models in color constancy. In: Walsh V, Kulikowski J, editors. Perceptual Constancies; Why Things Look As They Do. Cambridge, UK: Cambridge University Press; 1998. p 283-322.
8. von Kries J. Influence of adaptation on the effects produced by luminous stimuli. In: MacAdam DL, editor. Sources of Color Science. Cambrigde, MA: MIT Press; 1970. p 109-119.
9. Nieves JL, Romero J, García JA, Hita E. Visual system's adjustments to illuminant changes: Heuristic-based model revisited. Vision Res 2000;40:391-399.
10. Judd DB, MacAdam DL, Wyszecki G. Spectral distribution of typical daylight as a function of correlated colour temperature. J Opt Soc Am 1964;54:1031-1041.
11. Hernández-Andrés J, Romero J, Nieves JL, Lee RL, Jr. Color and spectral analysis of daylight in southern Europe. J Opt Soc Am A 2001;18:1325-1335.
12. Borges C. Trichromatic approximation method for surface illumination. J Opt Soc Am A 1991;8:1319-1323.
13. Funt BV, Lewis BC. Diagonal versus affine transformations for color correction. J Opt Soc Am A 2000;17:2108-2112.
14. Finlayson GD, Funt BV, Jiang H. Predicting cone quantum catches under illuminant change. Proceedings Eleventh Color Imaging Conference CIC'11, Scottdale, 2003. p 160-165.
15. Finlayson GD, Drew MS, Funt BV. Spectral sharpening: sensor transformations for improved color constancy. J Opt Soc Am A 1994;11:1553-1563.
16. West G, Brill MH. Necessary and sufficient conditions for von Kries chromatic adaptation to give color constancy. J Math Biol 1982;15: 249-258.
17. Drew MS, Finlayson GD. Multispectral processing without spectra. J Opt Soc Am A 2003;20:1181-1193.
18. ColorChecker DC. Chart from GretagMacbeth Ltd. ("GMB"), © 2004.
19. Vrhel MJ, Gershon R, Iwan LS. Measurement and analysis of object reflectance spectra. Color Res Appl 1994;19:4-9.
20. Tominaga S, Wandell BA. Natural scene-illuminant estimation using the sensor correlation. Proc IEEE 2002;90:42-56.
21. CIE. Colorimetry. CIE Tech. Rep. No. 15.2. Vienna: Central Bureau of the CIE; 1986. p 70-72.
22. Smith VC, Pokorny J. Spectral sensitivity of the foveal cone photo-pigments between 400 and 500 nm. Vision Res 1975; 15:161-171.
23. Lovell PG, Tolhurst DJ, Párraga CA, Baddeley R, Leonards U, Troscianko J, Troscianko T. Stability of the color-opponent signals under changes of illuminant in natural scenes. J Opt Soc Am A 2005;22:2060-2071.