RGBeat: A Recoloring Algorithm for Deutan and Protan Dichromats.

M. Madalena G. Ribeiro; Abel J. P. Gomes

doi:10.9781/ijimai.2022.01.003

Authors

M. Madalena G. Ribeiro Polytechnic Institute of Castelo Branco
Abel J. P. Gomes University of Beira Interior

DOI:

https://doi.org/10.9781/ijimai.2022.01.003

Keywords:

Color Blindness, Dichromacy, Recoloring, Accessibility

Supporting Agencies

The authors would like to thank Paulo Silveira and Carla S. Pedro for their support in the statistical analysis of the usability questionnaire, Marco Bernardo and Vasco Almeida for their criticism relative to color adaption techniques, as well as CVD participants for their help and time to answer the usability questionnaire. This work has been partially funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/50008/2020.

Abstract

Deutan and protan dichromats only see exactly two hues in the HSV color space, 240-blue (240o) and 60-yellow (60 o). Consequently, they see both reds and greens as yellows; therefore, they cannot distinguish reds from greens very well. Thus, their color space is 2D and results from the intersection between the HSV color cone and the 60º-240º plane. The RGBeat recoloring algorithm’s main contribution here is that it is the first recoloring algorithm that enhances the color perception of deutan and protan dichromats but without compromising the lifelong color perceptual learning. Also, as far as we know, this is the first HTML5-compliant web recoloring approach for dichromat people that considers both text and image recoloring in an integrated manner.

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References

E. Marieb and K. Hoehn, Anatomy & Physiology, Pearson, 2019.

J. Birch, Diagnosis of Defective Colour Vision, Elsevier Science, 2001.

J. Pokorny, V. C. Smith, and I. Katz, “Derivation of the photopigment absorption spectra in anomalous trichromats,” Journal of the Optical Society of America, vol. 63, no. 2, pp. 232–237, 1973.

D. McIntyre, Colour Blindness: Causes and Effects. Dalton Publishing, 2002.

L. Sharpe, A. Stockman, H. Jagle, and J. Nathans, “Opsin genes, cone photopigments, color vision and color blindness,” in Color Vision, K. Gegenfurtner and L. Sharpe (Eds.), Cambridge University Press, 1999.

S. Yang, Y. M. Ro, J. Nam, J. Hong, S. Y. Choi, and J.-H. Lee, “Improving visual accessibility for color vision deficiency based on MPEG-21,” Electronics and Telecommunications Research Institute Journal, vol. 26, no. 3, pp. 195–202, 2004.

H. Brettel, F. Vienot, and J. D. Mollon, “Computerized simulation of color appearance for dichromats,” Journal of the Optical Society of America–A: Optics Image Science and Vision, vol. 14, no. 10, pp. 2647–2655, 1997.

L. Petrich, “Color-blindness Simulators,” https://cutt.ly/nboQhuP, accessed on 2021-04-27, 2021.

J. C. Gardner, M. Michaelides, G. E. Holder, N. Kanuga, T. R. Webb, J. D. Mollon, A. T. Moore, and A. J. Hardcastle, “Blue cone monochromacy: causative mutations and associated phenotypes,” Molecular Vision, vol. 15, pp. 876–884, 2009.

A. Reitner, L. T. Sharpe, and E. Zrenner, “Is colour vision possible with only rods and blue-sensitive cones?,” Nature, vol. 352, no. 6338, pp. 798–800, 1991.

Y. Miyake, “Rod monochromacy,” in Electrodiagnosis of Retinal Dis-eases. Springer Tokyo, 2006, pp. 136–137.

OMIN (Online Mendelian Inheritance in Man), “An online catalog of human genes and genetic disorders,” Johns Hopkins University, https://www.omim.org/accessed on 2021-04-27, 2021.

H. K. Kolb, E. F. Fernandez, and R. N. Nelson, “WebVision: The Organization of the Retina and Visual System,” University of Utah Health Sciences Center, https://webvision.med.utah.edu/, accessed on 2021-04-27, 2021.

M. Ribeiro and A. Gomes, “Recoloring Algorithms for Colorblind People: A Survey,” ACM Computing Sureys, vol. 52, no. 4, Art. 71, pp.1-37, 2019.

Y.-C. Chen and T.-S. Liao, “Hardware digital color enhancement for color vision deficiencies,” Electronics and Telecommunications Research Institute Journal, vol. 33, no. 1, pp. 71–77, 2011.

B. Liu, M. Wang, Y. Linjun, W. Xiuquing, and H. Xian-Sheng, “Efficient image and video re-coloring for colorblindness,” in Proc. IEEE Int. Conf. Multimedia and Expo (ICME’09), 2009, pp. 906–909.

G. M. Machado and M. M. Oliveira, “Real-time temporal-coherent color contrast enhancement for dichromats,” Computer Graphics Forum, vol. 29, no. 3, pp. 933–942, 2010.

C.-R. Huang, K.-C. Chiu, and C.-S. Chen, “Temporal color consistencybased video reproduction for dichromats,” IEEE Transactions on Multimedia, vol. 13, no. 5, pp. 950–960, 2011.

J.-Y. Jeong, H.-J. Kim, T.-S. Wang, Y.-J. Yoon, and S.-J. Ko, “An efficient recoloring method with information preserving for the color- blind,” IEEE Transactions on Consumer Electronics, vol. 57, no. 4, pp. 1953–1960, 2011.

J.-B. Huang, C.-S. Chen, T.-C. Jen, and S.-J. Wang, “Image recol- orization for the colorblind,” in Proc. IEEE Inter. Conf. Acoustics, Speech, and Signal Processing (ICASSP’09), Vols 1- 8. IEEE Press, 2009, pp. 1161–1164.

D. R. Flatla, K. Reinecke, C. Gutwin, and K. Z. Gajos, “SPRWeb: preserving subjective responses to website colour schemes through automatic recolouring,” in Proc. Conf. Human Factors in Computing Systems (SIGCHI’13). ACM, 2013, pp. 2069–2078.

M. Ichikawa, K. Tanaka, S. Kondo, K. Hiroshima, K. Ichikawa, S. Tanabe, and K. Fukami, “Web-page color modification for barrier-free color vision with genetic algorithm,” in Proc. Genetic and Evolutionary Computation (GECCO’03). Lecture Notes in Computer Science, vol 2724. Springer, Berlin, Heidelberg, 2003, pp. 2134–2146.

K. Wakita and K. Shimamura, “Smartcolor: Disambiguation framework for the colorblind,” in Proc. 7th Int. ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’05). ACM, 2005, pp.158–165.

G. Iaccarino, D. Malandrino, M. Del Percio, and V. Scarano, “Efficient edge-services for colorblind users,” in Proc. 15th Int. Conf. World Wide Web (WWW ‘06). ACM Press, 2006, pp.919–920.

J.-B. Huang, Y.-C. Tseng, S.-I. Wu, and S.-J. Wang, “Information preserving color transformation for protanopia and deuteranopia,” IEEE Signal Processing Letters, vol. 14, no. 10, pp. 711–714, 2007.

G. Kuhn, M. Oliveira, and L. Fernandes, “An efficient naturalnesspreserving image-recoloring method for dichromats,” IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 6, pp. 1747–1754, 2008.

S. Oshima, R. Mochizuki, R. Lenz, and J. Chao, “Color-weakness compensation using Riemann normal coordinates,” in Proc. 2012 IEEE Int. Symp. Multimedia (ISM’12). IEEE Press, 2012, pp. 175–178.

T. Kojima, R. Mochizuki, R. Lenz, and J. Chao, “Riemann geometric colorweak compensation for individual observers,” in Proc. Int. Conf. Universal Access in Human-Computer Interaction (UAHCI’14). Lecture Notes in Computer Science, vol 8514. Springer International Publishing, 2014, vol. 8514, pp. 121–131.

C.Birtolo, P.Pagano, and L.Troiano,“Evolving colors in user interfaces by interactive genetic algorithm,” in Proc. World Congress on Nature & Biologically Inspired Computing (NaBIC’09). IEEE Press, 2009, pp. 349– 355.

S.-L. Ching and M. Sabudin, “Website image colour transformation for the colour blind,” in Proc. 2nd Int. Conf. Computer Technology and Development (ICCTD’10). IEEE Press, 2010, pp. 255–259.

F. Vienot, H. Brettel, and J. D. Mollon, “Digital video colourmaps for checking the legibility of displays by dichromats,” Color Research and Application, vol. 24, no. 4, pp. 243–252, 1999.

A. Ford and A. Roberts, Colour Space Conversions. Westminster University, London, United Kingdom1998.

A. R. Smith, “Color gamut transform pairs,” SIGGRAPH Computer Graphics, vol. 12, no. 3, pp. 12-19, 1978.

G. Meyer and D. Greenberg, “Color-defective vision and computer graphics displays,” IEEE Computer Graphics and Applications, vol. 8, no. 5, pp. 28-40, 1988.

C. Poynton, Digital Video and HDTV: Algorithms and Interfaces, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2003.

S. D. Cotton, “Colour, colour spaces and the human visual system,” University of Birmingham, United Kingdom, 1995.

M. Tkalcic and J. F. Tasic, “Colour spaces: perceptual, historical and applicational background,” in Proc. IEEE Region 8 EUROCON 2003: Computer as a Tool, vol. A. IEEE Press, 2003, pp. 304–308.

X. Xu, Y. Wang, J. Tang, X. Zhang, and X. Liu, “Robust automatic focus algorithm for low contrast images using a new contrast measure,” Sensors, vol. 11, no. 9, pp. 8281–8294, 2011.

A. J. Vingrys and P. E. King-Smith, “A quantitative scoring technique for panel tests of color vision,” Investigative Ophthalmology and Visual Science, vol. 29, no. 1, pp. 50–63, January 1988.

J. W. Tukey, Exploratory Data Analysis. Addison-Wesley, 1977.

D. S. Shafer and Z. Zhang, Beginning Statistics. Saylor Foundation, 2012.

S. Abeyasekera, J. Lawson-Macdowell, and I. Wilson, “Converting ranks to scores for an ad hoc assessment of methods of communication available to farmers,” DFID-funded work under the Farming Systems Integrated Pest Management Project, Malawi and DFID NRSP project R7033, Methodological Framework for Combining Qualitative and Quantitative Survey Methods., Tech. Rep., 2000.

W. E. Saris and I. N. Gallhofer, Design, Evaluation, and Analysis of Questionnaires for Survey Research. John Wiley & Sons, 2007.