Learning to colour greyscale images

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche


Reference

Machado, P., Dias, A., Cardoso, A.: Learning to colour greyscale images. The Interdisciplinary Journal of Artificial Intelligence and the Simulation of Behaviour – AISB Journal 1(2), 209–219 (2002).

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

Banzhaf, W., Nordin, P., and Francone, F. D. (1997). Why introns in genetic programming grow exponentially. In Workshop on Exploring Non-coding Segments and Genetics- based Encodings, ICGA, East Lansing, MI, USA.

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

Cohen, H. (1995). The further exploits of aaron, painter. Constructions of the Mind, 4(2). Cohen, H. (1999). Colouring without seeing: a problem in machine creativity. AISB Quarterly, (102):26–35.

Dias, A., Machado, P., and Cardoso, A. (2002). Improving genome compiler’s perfor- mance. In Genetic and Evolutionary Computation Conference, Graduate Student Workshop, GECCO’02, New York, USA.

Fukunaga, A., Stechert, A., and Mutz, D. (1998). A genome compiler for high perfor- mance genetic programming. In Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 86–94.

Kandinsky, W. (1911). On the Spiritual in Art. Republished by Dover Publications in 1997.

Koza, J. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press.

Machado, P. and Cardoso, A. (2002). All the truth about nevar. Applied Intelligence, Special issue on Creative Systems, 16(2):101–119.

Nordin, P. (1994). A compiling genetic programming system that directly manipulates the machine-code. In Kenneth, E., editor, Advances in Genetic Programming, pages 311–331. MIT Press.

Nordin, P. and Banzhaf, W. (1995). Complexity compression and evolution. In Sixth International Conference on Genetic Algorithms, ICGA95, pages 310–317. Morgan Kaufmann.

Sims, K. (1991). Artificial evolution for computer graphics. ACM Computer Graphics, 25:319–328.


Links

Full Text

http://fmachado.dei.uc.pt/wp-content/papercite-data/pdf/mdc02.pdf

intern file

Sonstige Links