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Testing halftoning methods using genetic algorithms - Comparing results using Haar wavelet filtering

Timo Mantere, Jarmo T. Alander, Testing halftoning methods using genetic algorithms - Comparing results using Haar wavelet filtering. In: MENDEL 2002 - 8th International Conference on Soft Computing, June 5-7, 2002, Brno, Czech Republic, 103-108, Kuncik Jan, Uvoz 82, Brno, 2002.

Abstract:

This work introduces automatic test image generation by genetic
algorithms for testing different halftoning methods. In general the proposed
method has potential in software test data generation. The goal was to
reveal, if genetic algorithm is able to generate images that are difficult for the
object software to halftone, in other words to find if some prominent
characteristics of the original image disappear or ghost features appear due
to the halftoning process. Image comparison between the input image and
the corresponding halftoned image was done by using a Haar wavelet based
fitness function.

BibTeX entry:

@INPROCEEDINGS{pMaAl02b,
  title = {Testing halftoning methods using genetic algorithms - Comparing results using Haar wavelet filtering},
  booktitle = {MENDEL 2002 - 8th International Conference on Soft Computing, June 5-7, 2002, Brno, Czech Republic},
  author = {Mantere, Timo and Alander, Jarmo T.},
  publisher = {Kuncik Jan, Uvoz 82, Brno},
  pages = {103-108},
  year = {2002},
  keywords = {digital halftoning, dithering, genetic algorithms, Haar wavelet, image comparison, image filtering, software testing, test image generation. },
}

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