Advertisement

Comparative Analysis of Image Compression Algorithms for Deep Space Communications Systems

  • Igor Bisio
  • Fabio Lavagetto
  • Mario Marchese
Conference paper
  • 662 Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 43)

Abstract

In deep communications systems bandwidth availability, storage and computational capacity play a crucial role and represent precious, as well as limited, communications resources. Starting from this consideration, high efficient image compression coding algorithms may represent a key solution to optimize the resources employment. In this paper two possible approaches have been considered: JPEG2000 and CCSDS Image Compression, which is specifically designed for satellite and deep space communications. In more details, two coders have been compared in terms of performance: JasPer, which is an implementation of the JPEG2000 standards, and the BPE, which is based on the CCSDS recommendations. The proposed comparison takes into account both the quality of the compressed images, by evaluating the Peak Signal to Noise Ratio, and the time needed to compress the images: the Compression Time. The latter parameters, which concerns the computational complexity of the compression algorithm, is very interesting for deep space systems because of their limited computational and energy resources.

Keywords

Deep Space Communications Systems Image Compression JPEG2000 CCSDS Compression PSNR Compression Time 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Taubman, D.S., Marcellin, M.W.: JPEG 2000: Image Compression Fundamentals, Standards and Practice. Kluwer International Series in Engineering and Computer Science (2000)Google Scholar
  2. 2.
    Adams, M.D., Kossentini, F.: JasPer: A Software-Based JPEG-2000 Codec Implementation. In: Proc. IEEE International Conference on Image Processing, Vancouver, BC, Canada, October 2000, vol. 2, pp. 53–56 (2000)Google Scholar
  3. 3.
    International Standard ISO/IEC 15444-1, JPEG2000 Core Coding System (December 2000)Google Scholar
  4. 4.
    Yeh, P., Armbruster, P., Kiely, A., Masschelein, B., Moury, G., Schaefer, C., Thiebaut, C.: The New CCSDS Image Compression Recommendation. In: Proc. IEEE Aerospace Conference, Big Sky, Montana, March 5-12 (2005)Google Scholar
  5. 5.
  6. 6.
    Huynh-Thu, Q., Ghanbari, M.: Scope of validity of PSNR in image/video quality assessment. IEEE Electronics Letters 44(13), 800–801 Google Scholar
  7. 7.
    Thomos, N., Boulgouris, N.V., Strintzis, M.G.: Optimized Transmission of JPEG2000 Streams Over Wireless Channels. IEEE Transactions on Image Processing 15(1), 54–67 Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2010

Authors and Affiliations

  • Igor Bisio
    • 1
  • Fabio Lavagetto
    • 1
  • Mario Marchese
    • 1
  1. 1.Department of Communications, Computer and System ScienceUniversity of GenoaItaly

Personalised recommendations