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Enhancements of Partitioning Techniques for Image Compression Using Weighted Finite Automata

  • Frank Katritzke
  • Wolfgang Merzenich
  • Michael Thomas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2494)

Abstract

WFAs (weighted finite automata) are efficient structures for the storage of digital images. The choice of the image partitioning technique is important to achieve good compression results. In this paper we examine the fitness of various promising techniques by measuring the compression performance at well-known test images.

Keywords

State Image Image Compression Image Segment Iterate Function System Image Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Frank Katritzke
    • 1
  • Wolfgang Merzenich
    • 1
  • Michael Thomas
    • 2
  1. 1.Department of Electr. Eng. and Computer ScienceUniversity of SiegenGermany
  2. 2.Mathematical DepartmentUniversity of SiegenGermany

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