Enhancement of Image Content for Observers with Colour Vision Deficiencies

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Color Image and Video Enhancement

Abstract

Colour vision deficiency (CVD) represents a functional disorder, predominantly caused by hereditary reasons, which results in difficulties in colour recognition and differentiation. As the use of colour to convey visual information in contemporary digital environment increases, it becomes more justified to tackle the issue of information accessibility. What colour-impaired observers actually see is of high value for understanding their visual problems in daily life. Many simulation methods confirmed in practice allow an average observer to view the image from the perspective of colour-deficient observers—“to look the world through their eyes”. We can make advantage of such simulations to define colour schemes that are suitable for everyone or to define optimal adaptation of the image content for the target population. The chapter summarizes the state of the art in enhancement methods, that is, daltonization methods, for adapting confusing image colours perceived as the same by colour-deficient viewers and, thus, enhancing their perceived image quality and accessibility in retrieving information.

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Notes

  1. 1.

    Afterimage is a phenomenon when the long exposition to one colour stimulus results in the appearance of its opponent colour on a white background after cancelling the stimulus.

  2. 2.

    Simultaneous contrast is a phenomenon when stimuli shift in colour appearance with the change of background colour.

  3. 3.

    There are many similar transformation matrices available in scientific literature, but none of them has been defined as a standard. Currently, the CIE technical committee TC1-36 is working on this recommendation for the CIE 1931 20 and the CIE 1964 100 standard observers.

  4. 4.

    Colour vision deficiency is also known as daltonism due to John Dalton, the first researcher who made notes about CVDs and was colour-blind himself.

  5. 5.

    The cross-modal organization is a phenomenon describing the brain’s capability of reorganizing itself when it is deprived of input in one sensory modality in order to enhance other senses.

  6. 6.

    The metameric colours are stimuli with different spectral compositions that appear the same when viewed under one set of viewing conditions but distinct under another.

References

  1. Anagnostopoulos, C.N., Tsekouras, G., Anagnostopoulos, I., Kalloniatis, C.: Intelligent modification for the daltonization process of digitized paintings. Paper presented at the 5th international conference on computer vision systems, University of Bielefeld, Bielefeld, 2007

    Google Scholar 

  2. Asada, K., Kobayasi, M., Furukawa, S.: A portable assistance tool for color-deficient individuals with real-time color changing function. Paper presented at the AIC 2011 midterm meeting of the International Colour Association (AIC), International Colour Association, Zurich, 7–10 June 2011

    Google Scholar 

  3. Bosten, J.M., Robinson, J.D., Jordan, G., Mollon, J.D.: Multidimensional scaling reveals a color dimension unique to “color-deficient” observers. Curr. Biol. 15(3), R950–R952 (2005)

    Article  Google Scholar 

  4. Brettel, H., Vienot, F., Mollon, J.: Computerized simulation of colour appearance for dichromats. J. Op. Soc. Am. 14, 2647–2655 (1997)

    Article  Google Scholar 

  5. Celebi, M.E.: Improving the performance of K-means for color quantization. Image Vis. Comput. 29(4), 260–271 (2011)

    Article  MathSciNet  Google Scholar 

  6. Celebi, M.E.: Partitional Clustering Algorithms. Springer (2015)

    Google Scholar 

  7. Chrome, D.: Chrome Daltonize extension. https://chrome.google.com/webstore/detail/chrome-daltonize/ efeladnkafmoofnbagdbfaieabmejfcf. Accessed 20 June

  8. Fairchild, M.: Colour Appearance Models. Wiley, Chichester (2005)

    Google Scholar 

  9. Fidaner, P., Poliang, L., Ozguven, N.: Analysis of colour blindness. http://scien.stanford.edu/pages/labsite/2005/psych221/projects/05/ofidaner/colourblindness_project.htm (2005). Accessed 20 June 2005

  10. Huang, J., Tseng, Y.C., Wu, S.I., Wang, S.J.: Information preserving colour transformation for protanopia and deuteranopia. IEEE Signal Process Lett. 14, 711–714 (2007)

    Article  Google Scholar 

  11. Huang, J., Wu, S., Chen, S.: Enhancing colour representation for the colour vision impaired. Paper presented at the ECCV international workshop on computer vision applications for the visually impaired in conjunction with European conference on computer vision, Marseille, 2008

    Google Scholar 

  12. Iaccarino, G., Malandrino, D., Percio, M.D., Scarano, V.: Efficient edge-services for colourblind users. Paper presented at the 15th WWW’06. 22–26 May 2006, Edinburgh, 2006

    Google Scholar 

  13. Ichikawa, M., Tanaka, K., Kondo, S., Hiroshima, K., Ichikawa, K., Tanabe, S., Fukami, K.: Web-page colour modification for barrier-free colour vision with genetic algorithm. LNCS. 2724, 2134–2146 (2003)

    Google Scholar 

  14. Kotera, H.: Optimal daltonization by spectral shift for dichromatic vision. Proceedings of paper presented at the 20th colour and imaging conference, 2012

    Google Scholar 

  15. Kuhn, G.R., Oliveira, M.M., Fernandes, L.A.F.: An efficient naturalness-preserving image-recolouring method for dichromats. IEEE Trans. Vis. Comput. Graph. 14, 1747–1754 (2008)

    Article  Google Scholar 

  16. Ma, Y., Gu, X., Wang, Y.: Colour discrimination enhancement for dichromats using self-organizing colour transformation. Inf. Sci. 179, 830–843 (2009)

    Article  Google Scholar 

  17. MacAdam, D.: Visual sensitivities to colour differences in daylight. J. Opt. Soc. Am. 32, 247–274 (1942)

    Article  Google Scholar 

  18. Machado, G.M.: A model for simulation of color vision deficiency and a color contrast enhancement technique for dichromats. Dissertation, Universidade Federal do Rio Grande do Sul (2010)

    Google Scholar 

  19. Machado, G.M., Oliveira, M.M., Fernandes, L.A.F.: A physiologically-based model for simulation of colour vision deficiency. IEEE Trans. Vis. Comput. Graph. 15, 1291–1298 (2009)

    Article  Google Scholar 

  20. Machado, G.M., Oliveira, M.M.: Real-time temporal-coherent colour contrast enhancement for dichromats. Comput. Graph. Forum. 29, 933–942 (2010)

    Article  Google Scholar 

  21. Milić, N., Novaković, D., Zeljković, Ž.: Development of plug-in for optimizing colours of graphic and web designs for persons with dichromatic vision deficiencies. Paper presented at the AIC 2011 midterm meeting of the International Colour Association (AIC), International Colour Association, Zurich, 7–10 June 2011

    Google Scholar 

  22. Milić, N., Hoffmann, M., Tómács, T., Novaković, D., Milosavljević, B.: A content-dependent naturalness-preserving daltonization method for dichromatic and anomalous trichromatic colour vision deficiencies. J. Imaging Sci. Technol. 59(1), in press (2015)

    Google Scholar 

  23. Mollon, J., Regan, B.C.: Cambridge Colour Test: Cambridge Research Systems. Cambridge (2000)

    Google Scholar 

  24. Morgan, M.J., Adam, A., Mollon, J.D.: Dichromats detect colour-camouflaged objects that are not detected by dichromats. Proc. Bio. Sci. 248(1323), 291–295 (1992)

    Google Scholar 

  25. Ohta, N., Robertson, R.: Colourimetry: Fundamentals and Applications. Wiley, Chichester (2005)

    Book  Google Scholar 

  26. Rasche, K., Geist, R., Westall, J.: Detail preserving reproduction of colour images for monochromats and dichromats. IEEE Comput. Graph. Appl. 25, 22–30 (2005)

    Article  Google Scholar 

  27. Ruminski, J., Wtorek, J., Ruminska, J., Kaczmarek, M., Bujnowski, A., Kocejko, T., Polinski, A.: Color transformation methods for dichromats. Paper presented at the 3rd International Conference on Human System Interactions (HSI), IEEE, Rzeszow, 13–15 May 2010.

    Google Scholar 

  28. Ruminski, J., Bajorek, M., Ruminska, J., Wtorek, J., Bujnowski, A.: Computerized color processing for dichromats. Hum. Comput. Syst. Interact. 98, 453–470 (2012)

    Google Scholar 

  29. Sajadi, B., Majumder, A., Oliveira, M., Schneider, R.G., Raskar, R.: Using patterns to encode color information for dichromats. Trans. Vis. Comput. Graph. 17, 1–13 (2011)

    Article  Google Scholar 

  30. Sharma, G.: Digital Colour Imaging. CRC Press, London (2003)

    Google Scholar 

  31. Sharpe, T.L.: Color Vision: From Genes to Perception. Cambridge University Press, Cambridge (1999)

    Google Scholar 

  32. Vienot, F., Brettel, H., Ott, L., Ben M’Barek, A., Mollon, J.: What do colour-blind people see? Nature. 376, 127–128 (1995)

    Article  Google Scholar 

  33. Vienot, F., Brettel, H., Mollon, J.: Digital video colourmaps for checking the legibility of displays by dichromats. Colour Res Appl. 24, 243–252 (1999)

    Article  Google Scholar 

  34. Vischeck. Vischeck filter. http://www.vischeck.com. Accessed 20 June 2014 (2009)

  35. Visolve. http://www.ryobi-sol.co.jp/visolve/en/. Accessed 20 June 2014 (2013)

  36. Wyszecki, G., Stiles, W.S.: Color Science: Concepts and Methods, Quantitative Data and Formula. Wiley, Chichester (2000)

    Google Scholar 

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Correspondence to Neda Milić .

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Milić, N., Novaković, D., Milosavljević, B. (2015). Enhancement of Image Content for Observers with Colour Vision Deficiencies. In: Celebi, E., Lecca, M., Smolka, B. (eds) Color Image and Video Enhancement. Springer, Cham. https://doi.org/10.1007/978-3-319-09363-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-09363-5_11

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