Colour constancy using the chromagenic constraint

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn I, Issue , 2005, Pages 1079-1086

  Finlayson, G D ^a   Hordley, S D ^a   Morovic, P ^a  

^a UNIVERSITY OF EAST ANGLIA   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONFORMAL MAPPING; CONSTRAINT THEORY; IMAGE ANALYSIS; IMAGING SYSTEMS; INFORMATION ANALYSIS;

CHROMAGENIC CONSTRAINT; COLOUR CONSTANCY; GAMUT MAPPING;

COLOR IMAGE PROCESSING;

EID: 33745121887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.101     Document Type: Conference Paper

References (23)

1. K. Barnard, V. Cardei, and B. Funt. A comparison of computational color constancy algorithms; Part One: Methodology and experiments with synthesized data. IEEE Transactions in Image Processing, 11(9):972-984, 2002.
2. G. Buchsbaum. A spatial processor model for object colour perception. Journal of the Franklin Institute, 310:1-26, 1980.
3. J. M. DiCarlo, F. Xiao, and B. A. Wandell. Illuminating illumination. In Proceedings of the Ninth Color Imaging Conference, pages 27-34. IS&T/SID, November 2001.
4. Dzmura and Iverson. Color Constancy I: Basic theory of two-stage linear recovery of spectral descriptors of lights and surfaces. Journal of the Optical Society of America, 10:2148-2165, 1993.
5. Dzmura and Iverson. Color Constancy II: Results for two-stage linear recovery of spectral descriptions for lights and surfaces. Journal of the Optical Society of America, 10:2166-1993.
6. G. Finlayson, M. Drew, and B. Funt. Diagonal transforms suffice for color constancy. In IEEE International Proceedings Fourth International Conference on Computer Vision, Berlin, Germany, pages 164-171, 1993.
7. G. Finlayson, S. Hordley, and P. Morovic. Chromagenic filter design. In the Proceedings of the 10th Annual Congress of the International Colour Association, May 2005. to appear.
8. G. D. Finlayson. Color in perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(10), 1996.
9. G. D. Finlayson, S. D. Hordley, and P. Hubel. Color by Correlation: A simple, unifying framework of color constancy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(11):1209-1221, 2001.
10. G. D. Finlayson and R. Xu. Convex programming colour constancy. In Workshop on Color and Photometric Methods in Computer Vision. IEEE, October 2003.
11. D. A. Forsyth. A novel algorithm for color constancy. International Journal of Computer Vision, 5:5-36, 1991.
12. N. B. Hodd. Putting chromagen to the test. Optometry Today, pages 39-42, 1998.
13. R. V. Hogg and E. A. Tanis. Probability and Statistical Inference. Prentice Hall, 2001.
14. S. Hordley and G. Finlayson. Re-evaluating colour constancy algorithms. In proceedings of the 17th International conference on pattern recognition. 1:76-79, 2004.
15. E. Land. The retinex theory of color vision. Scientific American, 237:108-128, 1970.
16. S. Lin and S. Lee. Detection of specularity using stereo in color and polarization space. Computer Vision and Image Understanding. 65:336-346, 1997.
17. L. T. Maloney and B. A. Wandell. Color constancy: a method for recovering surface spectral reflectance. Journal of the Optical Society of America A, 3:29-33, 1986.
18. D. H. Marimont and B. A. Wandell. Linear models of surface and illuminant spectra. Journal of the Optical Society of America, 11:1905-1913, October 1992.
19. J. P. S. Parkkinen, J. Hallikanen, and T. Jaaskelainen. Characteristic spectra of munsell colors. Journal of the Optical Society of America A, 6:318-322, 1989.
20. G. Peters and J. H. Wilkinson. Ax = λbx and the generalised eigenproblem. SIAM Journal of Numerical Analysis, 1970.
21. G. Strang. Linear Algebra and its Applications. Saunders College Publishing, 1988.
22. M. Tsukada and Y. Ohta. An approach to color constancy using multiple images. In International Conference on Computer Vision, pages 385-389, 1990.
23. A. Wilkins. Reading Through Colour: How Coloured Filters Can Reduce Reading Difficulty, Eye Strain, and Headaches. John Wiley Canada, 2003.