Giving Colour to Images

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Reference

Machado, P., Dias, A., Duarte, N., Cardoso, A. (2002). Giving Colour to Images. In: Proc. AISB 2002 Symposium on AI and Creativity in the Arts.

DOI

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.7195

Abstract

This paper is about the colouring of greyscale images. More specifically, we address the problem of learning to colour greyscale images from a set of examples of true colour ones. We employ Genetic Programming to evolve computer programs that take as input the Lightness channel of the training images and output the Hue channel. The best programs evolved can then be used to give colour to greyscale images. Due to the computational complexity of the learning task, we use a genome compiler system, GenCo, specially suited to image processing tasks.


Extended Abstract

Bibtex

Used References

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Banzhaf, W., Nordin, P., Keller, E. and Francone, F. D. Genetic Programming – An Introduction, Morgan Kaufman, 1998.

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Fukunaga, A. Stechert, A. Mutz, D. A Genome Compiler for High Performance Genetic Programming, Ge- netic Programming 1998: Proceedings of the Third Annual Conference, pp. 86-94, Morgan Kaufmann, 1998.

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Machado, P., Dias, A., Cardoso, A., GenCo – A project Report. Proceedings of the Third International Sym- posium on Artificial Intelligence and Adaptive Sys- tems (ISAS’2001), La Havana, Cuba, 2001.

Machado, P., Cardoso, A., All the truth about NEvAr. Applied Intelligence, Special issue on Creative Sys- tems, Bentley, P. Corne, D. (eds), Vol. 16, Nr. 2, pp. 101-119, Kluwer Academic Publishers, 2002.

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Links

Full Text

http://fmachado.dei.uc.pt/wp-content/papercite-data/pdf/mddc02.pdf

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