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JBIG for Printer Pipelines: A Compression Test

  • Daniele Ravì
  • Tony Meccio
  • Giuseppe Messina
  • Mirko Guarnera
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5646)

Abstract

The proposed paper describes a compression test analysis of JBIG standard algorithm. The aim of such work is to proof the effectiveness of this standard for images acquired through scanners and processed into a printer pipeline. The main issue of printer pipelines is the necessity to use a memory buffer to store scanned images for multiple prints. This work demonstrates that for very large scales the buffer can be fixed using medium compression case, using multiple scans in case of uncommon random patterns.

Keywords

Compression Test Lossless Compression Arithmetic Coder Compression Percentage Binary Arithmetic Coder 
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.

References

  1. 1.
    Denecker, K., de Neve, P.: A comparative study of lossless coding techniques for screened continuous-tone images. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, April 21-24, 1997, vol. 4, pp. 2941–2944 (1997)Google Scholar
  2. 2.
    Savakis, A.E.: Evaluation of lossless compression methods for gray scale document images. In: International Conference on Image Processing, September 10-13, vol. 1, pp. 136–139 (2000)Google Scholar
  3. 3.
    Yovanof, G.S.: Compression in a printer pipeline. In: Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers, vol. 2, p. 219 (1995)Google Scholar
  4. 4.
    ITU-T T.82 Information technology Coded representation of picture and audio information Progressive Bi-Level Image compression (March 1993)Google Scholar
  5. 5.
    Pennebaker, W.B., Mitchell, J.L., Langdon, G.G., Arps, R.B.: An overview of the basic principles of the Q-coder adaptive binary arithmetic coder. IBM Journal of research and development 32(6), 717–726 (1988)CrossRefGoogle Scholar
  6. 6.
    Mitchell, J.L., Pennebaker, W.B.: Software Implementations of the Q-Coder. IBM Journal of Research and Development 32(6), 753–774 (1988)CrossRefGoogle Scholar
  7. 7.
    Pennebaker, W.B., Mitchell, J.L.: Probability Estimation for the Q-Coder. IBM Journal of Research and Development 32(6), 737–752 (1988)CrossRefGoogle Scholar
  8. 8.
    Mitchell, J.L., Pennebaker, W.B.: Optimal Hardware and Software Arithmetic Coding Procedures for the Q-Coder. IBM Journal of Research and Development 32(6), 727–736 (1988)CrossRefGoogle Scholar
  9. 9.
    Pennebaker, W.B., Mitchell, J.L., Langdon Jr., G.G., Arps, R.: An Overview of the Basic Principles of the Q-Coder Adaptive Binary Arithmetic Coder. IBM Journal of Research and Development 32(6), 717–726 (1988)CrossRefGoogle Scholar
  10. 10.
    Anderson, E.E., Wang, W.-L.: Novel contact image sensor (CIS) module for compact and lightweight full-page scanner applications. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, May 1993, vol. 1901, pp. 173–181 (1993)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Daniele Ravì
    • 1
  • Tony Meccio
    • 1
  • Giuseppe Messina
    • 1
    • 2
  • Mirko Guarnera
    • 2
  1. 1.Università degli studi di Catania, D.M.I.CataniaItaly
  2. 2.STMicroelectronicsAdvanced System TechnologiesCataniaItaly

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