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Two Methods for Color Constancy Based on the Color Correlation Matrix

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Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 387))

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Abstract

Two methods for color constancy are proposed in this paper. Both are based on the correlation matrix on the three-dimensional space of colors, red, green and blue. In the first method, the eigenvector corresponding to the largest eigenvalue is assumed to be a good estimate of the illumination color, and the influence of the illumination color is eliminated from the input image. In the second method, it is assumed that the eigenvector corresponding to the largest eigenvalue presents the color gray when the illumination is white The image under white illumination is obtained by a iteration method so as to satisfy the condition that the eigenvector corresponding to the largest eigenvalue presents the color gray. These two methods were compared to a widely used typical method for color constancy, the Gray-world method, by simulation experiments using synthesized images and real images, and the effectiveness of the proposed methods was validated by these experiments.

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References

  1. Foster, D.H.: Color constancy. Vision Research 51, 674–700 (2011)

    Article  Google Scholar 

  2. Shafer, S.A.: Using color to separate reflection components. COLOR Research and Application 10(4), 210–218 (1985)

    Article  Google Scholar 

  3. Zmura, M.D., Lennie, P.; Mechanisms of color constancy. J. Opt. Soc. Am. A 3(10), October 1986

    Google Scholar 

  4. Barnard, K., Cardei, V., Funt, B.: A comparison of computational color constancy algorithms. Part I: Methodology and experiments with synthesized data. IEEE Trans. IP 11(9), 972–984 (2002)

    Google Scholar 

  5. Kawamura, H., Fukushima, K., Sonehara, N.: Mathematical conditions for estimating illumination color based on gray world assumption. In: Proc. of the Society Conference of IEICE, vol. 167 (1995)

    Google Scholar 

  6. Ciurea, F., Funt, B.: A large image database for color constancy research. In: IS&T/SID Eleventh Color Imaging Conference (2003)

    Google Scholar 

  7. Gijsenij, A., Gevers, T.: Color constancy by local averaging. In: 14th International Conference of Image Analysis and Processing, Workshops (2007)

    Google Scholar 

  8. Mac.Leod, G.: Influence of scene statistics on color constancy. Nature 415, 637–640 (2002)

    Article  Google Scholar 

  9. Golz, J.: The role of chromatic scene statistics in color constancy: Spatial integration. Journal of Vision 8(13), 6:1–6:16 (2008)

    Article  Google Scholar 

  10. Barnard, K., Martin, L., Funt, B.: Colour by correlation in a three-dimensional colour space. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1842, pp. 375–389. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  11. Yoshida, T., Hironaga, M., Toriu, T.: Estimating and Eliminating a Biased Illumination with the Correlation between Luminance and Colors. ICIC Express Letters: An International Journal of Research and Surveys 7, 1687–1692 (2012)

    MATH  Google Scholar 

  12. Granzier, J.J.M., Brenner, E., Cornelissen, F.W., Smeets, J.B.J.: Luminance color correlation is not used to estimate the color of the illumination. Journal of Vision 5, 20–27 (2005)

    Article  Google Scholar 

  13. Hasebe, N., Hironaga, M., Toriu, T.: A color constancy model with minimum brightness variance assumption. In: ICIVC (2014)

    Google Scholar 

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Correspondence to Takashi Toriu .

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Toriu, T., Hironaga, M., Hasebe, N. (2016). Two Methods for Color Constancy Based on the Color Correlation Matrix. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-23204-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-23204-1_17

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