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Related Experiment Videos

Tree coding of bilevel images.

B Martins1, S Forchhammer

  • 1Dept. of Telecommun., Tech. Univ., Lyngby, Denmark. bm@tele.dtu.dk

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 16, 2008
PubMed
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Sequential tree coders offer superior bilevel image compression, outperforming current standards like Joint Bilevel Image Experts Group (JBIG), especially for halftoned images. Advanced multipass schemes achieve significant compression gains, with randomized subsampling improving practical speed.

Area of Science:

  • Computer Science
  • Information Theory
  • Image Processing

Background:

  • Sequential tree coders represent the state-of-the-art in general-purpose bilevel image compression.
  • The Joint Bilevel Image Experts Group (JBIG) standard exemplifies current sequential tree coding techniques.

Purpose of the Study:

  • To investigate and enhance sequential tree coding algorithms for improved bilevel and halftoned image compression.
  • To explore efficient methods for model selection and probability estimation in image coding.

Main Methods:

  • Utilizing Rissanen's one-pass context algorithm with modified versions for efficient probability estimation.
  • Implementing multipass free tree coding and multipass free template coding schemes.
  • Employing randomized subsampling for optimizing template selection speed.

Related Experiment Videos

Main Results:

  • A baseline one-pass algorithm is proven to be a universal coder.
  • A faster one-pass version achieves excellent compression performance, albeit slower than JBIG.
  • Multipass schemes yield superior compression, significantly outperforming JBIG on difficult images like halftones.

Conclusions:

  • Advanced sequential tree coding, particularly multipass template coding with randomized subsampling, offers significant improvements over existing standards for bilevel and halftoned image compression.
  • The developed methods provide a practical and effective approach to high-performance image data compression.