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Issue No.03 - May/June (2005 vol.25)
pp: 22-30
Karl Rasche , Clemson University
Robert Geist , Clemson University
James Westall , Clemson University
In spite of the ever increasing prevalence of low-cost, color printing devices, gray-scale printing devices remain in widespread use. Authors producing documents with color images must account for the possibility that color images might be reduced to gray scale before they are viewed, and that the standard reduction used by gray scale printers--map color to luminance--might fail to preserve important image detail. This article suggests a new transformation for color to gray scale that preserves image detail by maintaining distance ratios during the reduction. An extension of the new transformation that reduces 3D color space to a 2D surface is also suggested. Such reductions are important for color-deficient observers.
color-deficient vision, color mapping, conjugate-gradient optimization, gray-scale transform
Karl Rasche, Robert Geist, James Westall, "Detail Preserving Reproduction of Color Images for Monochromats and Dichromats", IEEE Computer Graphics and Applications, vol.25, no. 3, pp. 22-30, May/June 2005, doi:10.1109/MCG.2005.54
1. G. Wyszecki and W. Stiles, Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd ed., John Wiley & Sons, 2000.
2. J. Tumblin and H. Rushmeier, "Tone Reproduction for Realistic Images," IEEE Computer Graphics and Applications, vol. 13, no. 6, 1993, pp. 42-48.
3. R. Floyd and L. Steinberg, "An Adaptive Algorithm for Spatial Grey Scale," Proc. Soc. for Information Display (SID 17), Soc. for Information Display, 1976, pp. 75-77.
4. E. Stollnitz, V. Ostromoukhov, and D. Salesin, "Reproducing Color Images Using Custom Inks," Proc. ACM Siggraph, ACM Press, 1998, pp. 267-274.
5. S. Roweis and L. Saul, "Nonlinear Dimensionality Reduction by Locally Linear Embedding," Science, vol. 290, no. 5500, 2000, pp. 2323-2326.
6. J. Tenenbaum, V. de Silva, and J. Langford, "A Global Geometric Framework for Nonlinear Dimensionality Reduction," Science, vol. 290, no. 5500, 2000, pp. 2319-2323.
7. B. Wandell, Foundations of Vision, Sinauer Associates, 1995.
8. Industrial Colour-Difference Evaluation, Commission Internationale de l'Eclairage (CIE), tech. report 116-1995, 1995.
9. M. Ichikawa et al., Web-Page Color Modification for Barrier-Free Color Vision with Genetic Algorithm, LNCS 2724, Springer-Verlag, 2003, pp. 2134-2146.
10. M. Ichikawa et al., "Preliminary Study on Color Modification for Still Images to Realize Barrier-Free Color Vision," Proc. IEEE Int'l Conf. Systems, Man, and Cybernetics, IEEE Press, 2004, pp. 36-41.
11. J. Walraven and J.W. Alferdinck, "Color Displays for the Color Blind," Proc. IS&T and SID 5th Color Imaging Conf., Soc. for Imaging Science and Technology, 1997, pp. 17-22.
12. G. Meyer and D. Greenberg, "Color-Defective Vision and Computer Graphics Displays," IEEE Computer Graphics and Applications, vol. 8, no. 5, 1988, pp. 28-40.
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