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Generating and Testing Halftoning Filters Co-Evolutionarily

Timo Mantere, Jarmo T. Alander, Generating and Testing Halftoning Filters Co-Evolutionarily. In: Proceedings of 2002 WSEAS International Conference on Electronics, Control and Signal Processing, Singapore, CD Proceedings, 6 pages, WSEAS, 2003.

Abstract:

In this paper we evaluate the potentials of using co-evolutionary optimization method to automatically generate both halftoning filters and their test images. The genetic algorithm generates halftone filters and at the same time, tries to create the hardest test image for each filter. The best filter being the one for which the hardest test image, when dithered, differs least from the original. An image population defines the fitness of halftoning filters and vice versa.

BibTeX entry:

@INPROCEEDINGS{inpMaAl03a,
  title = {Generating and Testing Halftoning Filters Co-Evolutionarily},
  booktitle = {Proceedings of 2002 WSEAS International Conference on Electronics, Control and Signal Processing, Singapore},
  author = {Mantere, Timo and Alander, Jarmo T.},
  publisher = {WSEAS},
  pages = {CD Proceedings, 6 pages},
  year = {2003},
  keywords = {Co-evolution, digital halftoning, genetic algorithms, software testing, test image generation},
}

Belongs to TUCS Research Unit(s): Algorithmics and Computational Intelligence Group (ACI), Turku BioNLP Group, Software Construction Laboratorium

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