Computerized Color Processing for Dichromats

  • J. Ruminski
  • M. Bajorek
  • J. Ruminska
  • J. Wtorek
  • A. Bujnowski
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 98)

Abstract

Dichromacy is a serious color vision problem, where people can see and recognize only a limited number of colors. In this article we propose computerized methods and systems for processing of WWW images and pictures obtained using a camera phone. Image simulation, transformation and color vision difference visualization methods are presented as a part of two computerized systems. The paper presents also color recognition and labelling method. The results of experiments obtained by means of simulation and control group showed that both systems can be efficiently used to obtain a color name for indicated real world objects or for the image object contained on the Web.

Keywords

Color Difference Color Vision Computerize System Color Vision Deficiency Camera Phone 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [Berlin and Kay 1969]
    Berlin, B., Kay, P.: Basic color terms: Their universality and evolution. University of California Press, Berkeley (1969)Google Scholar
  2. [Brettel et al. 1997]
    Brettel, H., Vienot, F., Mollon, J.D.: Computerized simulation of color appearance for dichromats. J. Opt. Soc. Am. 14(10), 2647–2655 (1997)CrossRefGoogle Scholar
  3. [CIE 2001]
    CIE, Improvement to industrial colour-difference evaluation (142), CIE Publication (2001)Google Scholar
  4. [Cole 2007]
    Cole, B.L.: Assessment of inherited colour vision defects in clinical practice. Clin. Exp. Optom. 90(3), 157–175 (2007)CrossRefGoogle Scholar
  5. [Huang et al. 2007]
    Huang, J., Tseng, Y.C., Wu, S.I., Wang, S.J.: Information preserving color transformation for protanopia and deuteranopia. IEEE Signal Processing Letters 14(10), 711–714 (2007)CrossRefGoogle Scholar
  6. [Huang et al. 2008]
    Huang, J., Wu, S., Chen, C.: Enhancing color representation for the color vision impaired. In: Int. Work on Computer Vision Applications for the Visually Impaired, in conjunction with European Conf. on Computer Vision, Marseille (2008)Google Scholar
  7. [Ichikawa et al. 2003]
    Ichikawa, M., Tanaka, K., Kondo, S., Hiroshima, K., Ichikawa, K., Tanabe, S., Fukami, K.: Web-page color modification for barrier-free color vision with genetic algorithm. LNCS, vol. 2724, pp. 2134–2146 (2003)Google Scholar
  8. [Ichikawa et al. 2004]
    Ichikawa, M., Tanaka, K., Kondo, S., Hiroshima, K., Ichikawa, K., Tanabe, S., Fukami, K.: Preliminary study on color modification for still images to realize barrier-free color vision. In: Proc. IEEE Int. Conf. Systems Man: Cybernetics, pp. 36–41 (2004)Google Scholar
  9. [Judd 1949]
    Judd, D.B.: Color perceptions of deuteranopic and protanopic observers. J. Opt. Soc. Am. 39(3), 252 (1949)CrossRefGoogle Scholar
  10. [Kelly and Judd 1976]
    Kelly, K.L., Judd, D.B.: COLOR universal language and dictionary of names. National Bureau of Standards special publication (1976)Google Scholar
  11. [Muntean and Susan 2006]
    Muntean, A., Susan, L.: Alterations of the color vision in elders. Cercetãri Experimentale & Medico-Chirurgicale (Anul XIII l Nr.1/2006), pp. 49–52 (2006)Google Scholar
  12. [Ruminski et al. 2010]
    Ruminski, J., Wtorek, J., Ruminska, J., Kaczmarek, M., Bujnowski, A., Kocejko, T., Polinski, A.: Color transformation methods for dichromats. Human System Interactions, 634–641 (2010)Google Scholar
  13. [Seve 1991]
    Seve, R.: New formula for the computation of CIE 1976 hue difference. Color Research and Application 16, 217–218 (1991)CrossRefGoogle Scholar
  14. [Sharma 2004]
    Sharma, G., Wu, W., Dalal, E.N.: The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observations. Color Research & Application (30), 21–30 (2004)CrossRefGoogle Scholar
  15. [Vienot 1999]
    Vienot, F., Vienot, F., Mollon, J.: Digital video colourmaps for checking the legibility of displays by dichromats. Color Research and Application (24), 243–252 (1999)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • J. Ruminski
    • 1
  • M. Bajorek
    • 1
  • J. Ruminska
    • 2
  • J. Wtorek
    • 1
  • A. Bujnowski
    • 1
  1. 1.Department of Biomedical EngineeringGdansk University of TechnologyPoland
  2. 2.Intermedica GdanskPoland

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