Illuminant estimation for color constancy: Why spatial-domain methods work and the role of the color distribution

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 31, Issue 5, 2014, Pages 1049-1058

  Cheng, Dongliang ^a   Prasad, Dilip K ^a   Brown, Michael S ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR; COLOR VISION; PRINCIPAL COMPONENT ANALYSIS;

COLOR DISTRIBUTION; ILLUMINANT ESTIMATION; ILLUMINATION ESTIMATION; IMAGE GRADIENTS; LARGE COLOR DIFFERENCES; LEARNING-BASED METHODS; PROJECTION DISTANCE; SPATIAL INFORMATIONS;

ESTIMATION;

EID: 84899867799     PISSN: 10847529     EISSN: 15208532     Source Type: Journal    
DOI: 10.1364/JOSAA.31.001049     Document Type: Article

References (47)

1. S. M. Newhall, R. W. Burnham, and R. M. Evans, "Color constancy in shadows," J. Opt. Soc. Am. 48, 976-984 (1958).
2. G. Buchsbaum, "A spatial processor model for object colour perception," J. Franklin Inst. 310, 1-26 (1980). (Pubitemid 11434416)
3. K. T. Blackwell and G. Buchsbaum, "Quantitative studies of color constancy," J. Opt. Soc. Am. A 5, 1772-1780 (1988).
4. J. S. Werner and B. E. Schefrin, "Loci of achromatic points throughout the life span," J. Opt. Soc. Am. A 10, 1509-1516 (1993).
5. Q. Zaidi, B. Spehar, and J. DeBonet, "Color constancy in variegated scenes: role of low-level mechanisms in discounting illumination changes," J. Opt. Soc. Am. A 14, 2608-2621 (1997). (Pubitemid 127576877)
6. K.-H. Bäuml, "Increments and decrements in color constancy," J. Opt. Soc. Am. A 18, 2419-2429 (2001).
7. N. N. Krasilnikov, O. I. Krasilnikova, and Y. E. Shelepin, "Mathematical model of the color constancy of the human visual system," J. Opt. Technol. 69, 327-332 (2002).
8. G. D. Finlayson, M. S. Drew, and B. V. Funt, "Color constancy: generalized diagonal transforms suffice," J. Opt. Soc. Am. A 11, 3011-3019 (1994).
9. A. Gijsenij, T. Gevers, and J. van de Weijer, "Computational color constancy: survey and experiments," IEEE Trans. Image Process. 20, 2475-2489 (2011).
10. K. Barnard, V. Cardei, and B. Funt, "A comparison of computational color constancy algorithms. I: methodology and experiments with synthesized data," IEEE Trans. Image Process. 11, 972-984 (2002). (Pubitemid 35250382)
11. K. Barnard, L. Martin, A. Coath, and B. Funt, "A comparison of computational color constancy algorithms. II: experiments with image data," IEEE Trans. Image Process. 11, 985-996 (2002). (Pubitemid 35250383)
12. C. van Trigt, "Linear models in color constancy theory," J. Opt. Soc. Am. A 24, 2684-2691 (2007).
13. S. D. Hordley and G. D. Finlayson, "Reevaluation of color constancy algorithm performance," J. Opt. Soc. Am. A 23, 1008-1020 (2006).
14. 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).
15. M. D'Zmura and G. Iverson, "Color constancy. II. Results for two-stage linear recovery of spectral descriptions for lights and surfaces," J. Opt. Soc. Am. A 10, 2166-2180 (1993).
16. M. D'Zmura and G. Iverson, "Color constancy. III. General linear recovery of spectral descriptions for lights and surfaces," J. Opt. Soc. Am. A 11, 2389-2400 (1994).
17. B. Funt and H. Jiang, "Nondiagonal color correction," in International Conference on Image Processing (IEEE, 2003), pp. 481-484.
18. G. Iverson and M. D'Zmura, "Criteria for color constancy in trichromatic bilinear models," J. Opt. Soc. Am. A 11, 1970-1975 (1994).
19. D. H. Brainard and B. A. Wandell, "Analysis of the retinex theory of color vision," J. Opt. Soc. Am. A 3, 1651-1661 (1986).
20. G. D. Finlayson and E. Trezzi, "Shades of gray and colour constancy," in Color and Imaging Conference (IS&T, 2004), pp. 37-41. (Pubitemid 40191908)
21. J. Van De Weijer, T. Gevers, and A. Gijsenij, "Edge-based color constancy," IEEE Trans. Image Process. 16, 2207-2214 (2007). (Pubitemid 47321550)
22. L. Shi and B. Funt, "Maxrgb reconsidered," J. Imaging Sci. Technol. 56, 1 (2012).
23. M. P. Lucassen, T. Gevers, A. Gijsenij, and N. Dekker, "Effects of chromatic image statistics on illumination induced color differences," J. Opt. Soc. Am. A 30, 1871-1884 (2013).
24. M. S. Drew and B. V. Funt, "Variational approach to interreflec-tion in color images," J. Opt. Soc. Am. A 9, 1255-1265 (1992).
25. S. Bianco, G. Ciocca, C. Cusano, and R. Schettini, "Improving color constancy using indoor-outdoor image classification," IEEE Trans. Image Process. 17, 2381-2392 (2008).
26. T. Celik and T. Tjahjadi, "Adaptive colour constancy algorithm using discrete wavelet transform," Comput. Vis. Image Underst. 116, 561-571 (2012).
27. A. Chakrabarti, K. Hirakawa, and T. Zickler, "Color constancy with spatio-spectral statistics," IEEE Trans. Pattern Anal. Mach. Intell. 34, 1509-1519 (2012).
28. A. Gijsenij and T. Gevers, "Color constancy using natural image statistics and scene semantics," IEEE Trans. Pattern Anal. Mach. Intell. 33, 687-698 (2011).
29. A. Gijsenij, T. Gevers, and J. Van De Weijer, "Improving color constancy by photometric edge weighting," IEEE Trans. Pattern Anal. Mach. Intell. 34, 918-929 (2012).
30. H.-C. Lee, "Method for computing the scene-illuminant chroma-ticity from specular highlights," J. Opt. Soc. Am. A 3, 1694-1699 (1986).
31. H. R. V. Joze, M. S. Drew, G. D. Finlayson, and P. A. T. Rey, "The role of bright pixels in illumination estimation," in Color and Imaging Conference (IS&T, 2012), pp. 41-46.
32. M. S. Drew, H. R. V. Joze, and G. D. Finlayson, "Specularity, the zeta-image, and information-theoretic illuminant estimation," in Computer Vision-ECCV2012. Workshops and Demonstrations (Springer, 2012), pp. 411-420.
33. R. T. Tan, K. Nishino, and K. Ikeuchi, "Color constancy through inverse-intensity chromaticity space," J. Opt. Soc. Am. A 21, 321-334 (2004).
34. F.-J. Chang, S.-C. Pei, and W.-L. Chao, "Color constancy by chromaticity neutralization," J. Opt. Soc. Am. A 29, 2217-2225 (2012).
35. R. Kawakami, J. Takamatsu, and K. Ikeuchi, "Color constancy from blackbody illumination," J. Opt. Soc. Am. A 24, 1886-1893 (2007). (Pubitemid 47342613)
36. K. Barnard, "Improvements to gamut mapping colour constancy algorithms," in European Conference on Computer Vision (Springer, 2000), pp. 390-403.
37. D. A. Forsyth, "A novel algorithm for color constancy," Int. J. Comput. Vis. 5, 5-35 (1990).
38. V. C. Cardei, B. Funt, and K. Barnard, "Estimating the scene illumination chromaticity by using a neural network," J. Opt. Soc. Am. A 19, 2374-2386 (2002).
39. 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). (Pubitemid 33137958)
40. P. V. Gehler, C. Rother, A. Blake, T. Minka, and T. Sharp, "Bayesian color constancy revisited," in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2008), pp. 1-8.
41. D. H. Brainard and W. T. Freeman, "Bayesian color constancy," J. Opt. Soc. Am. A 14, 1393-1411 (1997). (Pubitemid 127581554)
42. L. Shi, W. Xiong, and B. Funt, "Illumination estimation via thin-plate spline interpolation," J. Opt. Soc. Am. A 28, 940-948 (2011).
43. Y. Weiss and W. T. Freeman, "What makes a good model of natural images?" in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2007), pp. 1-8.
44. K. Barnard, L. Martin, B. Funt, and A. Coath, "A data set for color research," Color Res. Appl. 27, 147-151 (2002). (Pubitemid 34491700)
45. A. Gijsenij, T. Gevers, and M. P. Lucassen, "Perceptual analysis of distance measures for color constancy algorithms," J. Opt. Soc. Am. A 26, 2243-2256 (2009).
46. G. D. Finlayson, S. D. Hordley, and P. Morovic, "Colour constancy using the chromagenic constraint," in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2005), pp. 1079-1086. (Pubitemid 43897312)
47. C. Fredembach and G. D. Finlayson, "The bright-chromagenic algorithm for illuminant estimation," J. Imaging Sci. Technol. 52, 040906 (2008).