Abstract
Colorization is a term used to describe a computerized process for adding color to black and white pictures, movies or TV programs by replacing a scalar value stored at each pixel of the gray scale image by a vector in a three dimensional color space with luminance, saturation and hue or simply RGB. Since different colors may carry the same luminance value but vary in hue and/or saturation, the problem of colorization has no inherently ”correct” solution. Due to these ambiguities, human interaction usually plays a large role.
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References
E. Reinhard, M. Ashikhmin, B. Gooch, and P. Shirley, ”Color transfer between images,” IEEE Computer Graphics and Applications 21, pp. 34–41, May 2001.
T. Welsh, M. Ashikhmin, and K. Mueller,“Transferring color to grayscale images,” in Proceedings ACM SIGGRAPH Conference, pp. 277–280, 2002.
Z. Pan, Z. Dong, and M. Zang,“A new algorithm for adding color to video or animation clips,” in Proceedings WSCG, International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pp. 515–519, 2004.
A. Levin, D. Lischinski, and Y. Weiss,“Colorization using optimization,” in Proceedings ACM SIGGRAPH Conference, pp. 689–694, 2004.
J. S. Madeira, A. Stork, and M. H. Grob,“An approach to computer-supported cartooning,” The Visual Computer 12, pp. 1–17, 1996.
T. Horiuchi,“Colorization algorithm for gray-level images by probabilistic relaxation,” in Proceedings IEEE International Conference on Pattern Recognition, pp. 867–870, 2003.
L. Yatziv and G. Sapiro,“Fast image and video colorization using chrominance blending”, IEEE Transactions on Image Processing 15, pp. 1120–1129, May 2006.
R. Klette and A. Rosenfeld, Digital Geometry-Geometric Methods for Digital Picture Analysis, Morgan Kauffman, 2004.
P. J. Toivanen,“New geodesic distance transforms for gray-scale images,” Elsevier-Pattern Recognition Letters 17, pp. 437–450, 1995.
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© 2007 Springer-Verlag Berlin Heidelberg
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Lagodzinski, P., Smolka, B. (2007). On the Application of Distance Transformation in Digital Image Colorization. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_14
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DOI: https://doi.org/10.1007/978-3-540-75175-5_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
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