Lossless Compression of Map Contours by Context Tree Modeling of Chain Codes

  • Alexander Akimov
  • Alexander Kolesnikov
  • Pasi Fränti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

We consider lossless compression of digital contours in map images. The problem is attacked by the use of context-based statistical modeling and entropy coding of chain codes. We propose to generate an optimal context tree by first constructing a complete tree up to a predefined depth, and then create the optimal tree by pruning out nodes that do not provide improvement in compression. Experiments show that the proposed method gives lower bit rates than the existing methods for the set of test images.

Keywords

Child Node Lossless Compression Chain Code Context Tree Digital Contour 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alexander Akimov
    • 1
  • Alexander Kolesnikov
    • 1
  • Pasi Fränti
    • 1
  1. 1.Department of Computer ScienceUniversity of JoensuuJoensuuFinland

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