Abstract
Despite the widespread availability of color sensors for image capture, the printing of documents and books are still primarily done in black-and-white for economic reasons. In this case, the included illustrations and photographs are printed in grayscale, with the potential loss of important information encoded in the chrominance channels of these images. We present an efficient contrast enhancement algorithm for color-to-grayscale image conversion that uses both luminance and chrominance information. Our algorithm is about three orders of magnitude faster than previous optimization-based methods, while providing some guarantees on important image properties. More specifically, our approach preserves gray values present in the color image, ensures global consistency, and locally enforces luminance consistency. Our algorithm is completely automatic, scales well with the number of pixels in the image, and can be efficiently implemented on modern GPUs. We also introduce an error metric for evaluating the quality of color-to-grayscale transformations.
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References
Brown, R.: Photoshop: Converting color to black-and-white. http://www.russellbrown.com/tips_tech.html (2006). Accessed 2007
Dietrich, C.A., Comba, J.L.D., Nedel, L.P.: ShaderX 5. In: Storing and Accessing Topology on the GPU: A Case Study on Mass-Spring Systems, pp. 565–578. Charles River Media, Boston (2006)
Dunteman, G.: Principal Components Analysis. Sage, Thousand Oaks, CA (1989)
Georgii, J., Westermann, R.: Mass-spring systems on the GPU. Simul. Modell. Pract. Theory 13, 693–702 (2005)
Gooch, A.A., Olsen, S.C., Tumblin, J., Gooch, B.: Color2gray: salience-preserving color removal. ACM Trans. Graph. 24(3), 634–639 (2005)
Gooch, A.A., Olsen, S.C., Tumblin, J., Gooch, B.: Color2gray: Salience-preserving color removal. http://www.color2gray.info (2005). Accessed 2007
Grundland, M., Dodgson, N.A.: Decolorize: Fast, contrast enhancing, color to grayscale conversion. Pattern Recognit. 40(11), 2891–2896 (2007)
Jeschke, E.R.: Gimp: Converting color images to b&w. http://www.gimp.org/tutorials/Color2BW/ (2002). Accessed 2007
Nemcsics, A.: Coloroid color system. Color Res. Appl. 5, 113–120 (1980)
Neumann, L., Cadik, M., Nemcsics, A.: An efficient perception-based adaptive color to gray transformation. In: Proceedings of Computational Aesthetics 2007, pp. 73–80. Eurographics Association, Banff, Canada (2007)
Rasche, K.: Detail preserving color transformation. http://www.fx.clemson.edu/rkarl/c2g.html (2005). Accessed 2007
Rasche, K., Geist, R., Westall, J.: Re-coloring images for gamuts of lower dimension. Comput. Graph. Forum 24(3), 423–432 (2005)
Shepard, D.: A two-dimensional interpolation function for irregularly-spaced data. In: Proceedings of the 1968 23rd ACM National Conference, pp. 517–524. ACM, New York, NY (1968)
Tejada, E., Ertl, T.: Large steps in GPU-based deformable bodies simulation. Simulation Practice and Theory, Special Issue on Programmable Graphics Hardware 13(8), 703–715 (2005)
Verlet, L.: Computer “experiments” on classical fluids. I. thermodynamical properties of Lennard–Jones molecules. Phys. Rev. 159(1), 98 (1967)
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Kuhn, G., Oliveira, M. & Fernandes, L. An improved contrast enhancing approach for color-to-grayscale mappings. Visual Comput 24, 505–514 (2008). https://doi.org/10.1007/s00371-008-0231-2
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DOI: https://doi.org/10.1007/s00371-008-0231-2