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Color Constancy

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Color constancy is the ability to perceive colors as approximately constant even though the light entering the eye varies with the illuminant. Color constancy also names the field of research investigating the extent of this ability, i.e., the conditions under which a color is actually perceived as constant and which factors influence color constancy. Computer scientists working in the field of color constancy try to mimic this ability in order to produce images which are independent of the illuminant, i.e., color constant. Simple color constancy algorithms, also known under the name automatic white balance, are used in digital cameras to compute a color- corrected output image. The input of a color...

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References

  1. Ebner M (2007) Color constancy. Wiley, England

    MATH  Google Scholar 

  2. Zeki S (1993) A vision of the brain. Blackwell Science, Oxford

    Google Scholar 

  3. Geusebroek J-M, van den Boomgaard R, Smeulders AWM, Geerts H (2001) Color invariance. IEEE Trans Pattern Analy Mach Intell 23(12):1338–1350

    Article  Google Scholar 

  4. Finlayson GD, Mackiewicz M, Hurlbert A (2015) Color correction using root-polynomial regression. IEEE Trans Image Process 24(5):1460–1470

    Article  MathSciNet  Google Scholar 

  5. West G, Brill MH (1982) Necessary and sufficient conditions for von Kries chromatic adaptation to give color constancy. J Math Biol 15:249–258

    Article  MathSciNet  Google Scholar 

  6. Land EH, McCann JJ (1971) Lightness and Retinex theory. J Opt Soc Am 61(1):1–11

    Article  Google Scholar 

  7. Buchsbaum G A spatial processor model for object colour perception. J Frankl Inst 310(1):337–350 (1980)

    Article  Google Scholar 

  8. van de Weijer J, Gevers T, Gijsenij A (2007) Edge-based color constancy. IEEE Trans Image Process 16(9):2207–2214

    Article  MathSciNet  Google Scholar 

  9. Brainard DH, Freeman WT (1997) Bayesian color constancy. J Opt Soc Am A 14(7):1393–1411

    Article  Google Scholar 

  10. Bianco S, Cusano C, Schettini R (2017) Single and multiple illuminant estimation using convolutional neural networks. IEEE Trans Image Process 26(9):4347–4362

    Article  MathSciNet  Google Scholar 

  11. Cheng D, Price B, Cohen S, Brown MS (2015) Effective learning-based illuminant estimation using simple features. In: IEEE conference on computer vision and pattern recognition, Boston. IEEE

    Book  Google Scholar 

  12. Barron JT, Tsai Y-T (2017) Fast fourier color constancy. In: IEEE conference on computer vision and pattern recognition, Honolulu. IEEE

    Book  Google Scholar 

  13. Horn BKP (1974) Determining lightness from an image. Comput Graph Image Process 3:277–299

    Article  Google Scholar 

  14. Barnard K, Finlayson G, Funt B (1997) Color constancy for scenes with varying illumination. Comput Vis Image Underst 65(2):311–321

    Article  Google Scholar 

  15. Ebner M (2011) On the effect of scene motion on color constancy. Biol Cybern 105(1):319–330

    Article  MathSciNet  Google Scholar 

  16. Gegenfurtner KR (2003) Cortical mechanisms of colour vision. Nat Rev Neurosci 4:563–572

    Article  Google Scholar 

  17. Gao S, Yang K, Li C, Li Y (2015) Color constancy using double-opponency. IEEE Trans Pattern Anal Mach Intell 37(10):1973–1985

    Article  Google Scholar 

  18. Klinker GJ, Shafer SA, Kanade T (1988) The measurement of highlights in color images. Int J Comput Vis 2:7–32

    Article  Google Scholar 

  19. An D, Suo J, Wang H, Dai Q (2015) Illumination estimation from specular highlight in a multi-spectral image. Opt Express 23(13):17008–17023

    Article  Google Scholar 

  20. Barnard K, Cardei V, Funt B (2002) A comparison of computational color constancy algorithms – part I and II. IEEE Trans Image Process 11(9):972–996

    Article  Google Scholar 

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Correspondence to Marc Ebner .

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Ebner, M. (2020). Color Constancy. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_454-1

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  • DOI: https://doi.org/10.1007/978-3-030-03243-2_454-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03243-2

  • Online ISBN: 978-3-030-03243-2

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