Color constancy by chromaticity neutralization

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

Volumn 29, Issue 10, 2012, Pages 2217-2225

  Chang, Feng Ju ^a,b   Pei, Soo Chang ^a   Chao, Wei Lun ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b RESEARCH CENTER FOR INFORMATION TECHNOLOGY INNOVATION   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; PIXELS;

BENCHMARK DATABASE; CAMBRIDGE; COLOR CONSTANCY; ILLUMINANT ESTIMATION; IMAGE INTENSITIES; ITERATIVE ALGORITHM; MICROSOFT RESEARCHES; SIMON FRASER UNIVERSITY; WEB IMAGES;

COLOR COMPUTER GRAPHICS;

EID: 84867507825     PISSN: 10847529     EISSN: 15208532     Source Type: Journal    
DOI: 10.1364/JOSAA.29.002217     Document Type: Article

References (21)

1. A. Gijsenij, T. Gevers, and J. van de Weijer, "Computational color constancy: survey and experiments," IEEE Trans. Image Process. 20, 2475-2489 (2011).
2. D. H. Foster, "Color constancy," Vis. Res. 51, 674-700 (2011).
3. J. M. Geusebroek, R. V. D. Boomgaard, and A. W. M. Smeulders, "Color invariance," IEEE Trans. PAMI 23, 1338-1350 (2001).
4. T. Gevers and A. W. M. Smeulders, "Color based object recognition," Pattern Recogn. 32, 453-464 (1999).
5. E. H. Land and J. J. McCann, "Lightness and retinex theory," J. Opt. Soc. Am. A 61, 1-11 (1971).
6. G. Buchsbaum, "A spatial processor model for object color perception," J. Franklin Inst. 310, 1-26 (1980).
7. G. D. Finlayson and E. Trezzi, "Shades of gray and color constancy," in Proceedings of the 12th Color Imaging Conference (IS&T/SID, 2004), pp. 37-41.
8. J. van de Weijer, T. Gevers, and A. Gijsenij, "Edge-based color constancy," IEEE Trans. Image Process. 16, 2207-2214 (2007).
9. D. Forsth, "A novel algorithm for color constancy," Int. J. Comput. Vis. 5, 5-36 (1990).
10. A. Gijsenij, T. Gevers, and J. van de Weijer, "Generalized gamut mapping using image derivative structures for color constancy," Int. J. Comput. Vis. 86, 127-139 (2010).
11. G. D. Finlayson, S. D. Hordley, and R. Xu, "Convex programming colour constancy with a diagonal-offset model," in Proceedings of IEEE International Conference on Image Processing (IEEE, 2005), pp. 948-951.
12. R. T. Tan, K. Nishino, and K. Ikeuchi, "Illumination chromaticity estimation using inverse-intensity chromaticity space," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2003), pp. 673-680.
13. K. Barnard, L. Martin, A. Coath, and B. Funt, "A comparison of computational color constancy algorithms-Part II: experiments with image data," IEEE Trans. Image Process. 11, 985-996 (2002).
14. B. Funt and L. Shi, "MaxRGB reconsidered," J. Imaging Sci. Technol. 56, 20501 (2012).
15. F. Gasparini and R. Schettini, "Color balancing of digital photos using simple image statistics," Pattern Recogn. 37, 1201-1217 (2004).
16. S. Tominaga, S. Ebisui, and B. A. Wandell, "Scene illuminant classification: brighter is better," J. Opt. Soc. Am. A 18, 55-64 (2001).
17. K. Barnard, L. Martin, B. Funt, and A. Coath, "A data set for color research," Color Res. Appl. 27, 147-151 (2002).
18. P. V. Gehler, C. Rother, A. Blake, T. Minka, and T. Sharp, "Bayesian color constancy revisited," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2008), pp. 1-8.
19. A. Gijsenij, T. Gevers, and M. Lucassen, "A perceptual analysis of distance measures for color constancy algorithms," J. Opt. Soc. Am. A 26, 2243-2256 (2009).
20. S. Hordley and G. Finlayson, "Reevaluation of color constancy algorithm performance," J. Opt. Soc. Am. A 23, 1008-1020 (2006).
21. A. Gijsenij and T. Gevers, "Color constancy: research website on illuminant estimation," http://colorconstancy.com.