Region-based illuminant estimation for effective color correction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5716 LNCS, Issue , 2009, Pages 43-52

  Bianco, Simone ^a   Gasparini, Francesca ^a   Schettini, Raimondo ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

APRIORI; COLOR CONSTANCY; COLOR CORRECTION; ILLUMINANT CHROMATICITY; ILLUMINANT ESTIMATION; IMAGE CONTENT; LOW-LEVEL ANALYSIS; REGION-BASED;

ALGORITHMS; COLOR; IMAGE ANALYSIS;

COLOR COMPUTER GRAPHICS;

EID: 76249095224     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04146-4_7     Document Type: Conference Paper

References (21)

1. Hordley, S.D.: Scene illuminant estimation: Past, present, and future. Color Res. Appl. 31(4), 303-314 (2006)
2. Bianco, S., Gasparini, F., Schettini, R.: A consensus based framework for illuminant chromaticity estimation. Journal of Electronic Imaging 17, 023013-1-023013-9 (2008)
3. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proc. IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948 (1995)
4. Ciurea, F., Funt, B.: A Large Image Database for Color Constancy Research. In: Proc. IS&T/SID 11th Color Imaging Conference, pp. 160-164 (2003)
5. Ciocca, G., Schettini, R.: An Innovative Algorithm for Key Frame Extraction in Video Summarization. Journal of Real-Time Image Processing 1(1), 69-88 (2006)
6. Ciocca, G., Schettini, R.: Supervised And Unsupervised Classification Post - Processing for Visual Video Summaries. IEEE Transactions on Consumer Electronics 2(52), 630-638 (2006)
7. Bianco, S., Ciocca, G., Cusano, C., Schettini, R.: Classification-based Color Constancy. In: Sebillo, M., Vitiello, G., Schaefer, G. (eds.) VISUAL 2008. LNCS, vol. 5188, pp. 104-113. Springer, Heidelberg (2008)
8. Bianco, S., Ciocca, G., Cusano, C., Schettini, R.: Improving Color Constancy Using Indoor-Outdoor Image Classification. IEEE Transactions on Image Processing 17(12), 2381-2392 (2008)
9. Hordley, S.D., Finlayson, G.D.: Re-evaluating Color Constancy Algorithms. In: Proc. 17th International Conference on Pattern Recognition, pp. 76-79 (2004)
10. Land, E.: The retinex theory of color vision. Scientific American 237(6), 108-128 (1977)
11. Ebner, F., Fairchild, M.D.: IDevelopment and Testing of a Color Space (IPT) with Improved Hue Uniformity. In: IS&T/SID Sixth Color Imaging Conference: Color Science, Systems and Applications, vol. 6, pp. 8-13 (1998)
12. Lewis, R.M., Torczon, V.: Pattern search algorithms for bound constrained minimization. SIAM Journal on Optimization 9, 1082-1099 (1999)
13. Lewis, R.M., Torczon, V.: Pattern search methods for linearly constrained minimization. SIAM Journal on Optimization 10, 917-941 (2000)
14. Buchsbaum, G.: A spatial processor model for object color perception. Journal of Franklin Institute 310, 1-26 (1980)
15. Cardei, V., Funt, B., Barndard, K.: White point estimation for uncalibrated images. In: Proc. IS&T/SID 7th Color Imaging Conference, pp. 97-100 (1999)
16. Finlayson, G., Trezzi, E.: Shades of gray and colour constancy. In: Proc. IS&T/SID 12th Color Imaging Conference, pp. 37-41 (2004)
17. Barnard, K., Cardei, V., Funt, B.: A comparison of computational color constancy algorithms; part two: Experiments with image data. IEEE Tansactions on Image Processing 11(9), 985-996 (2002)
18. van de Weijer, J., Gevers, T., Gijsenij, A.: Edge-based Color Constancy. IEEE Transactions on Image Processing 16(9), 2207-2214 (2007)
19. Funt, B., Barnard, K., Martin, L.: Is machine colour constancy good enough? In: Proc. 5th European Conference on Computer Vision, pp. 445-459 (1998)
20. Fairchild, M.D.: Color Appearance Models. Addison Wesley, Reading (1997)
21. Wilcoxon, F.: Individual comparisons by ranking methods. Biometrics 1, 80-83 (1945)