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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Taubman, D.S., Marcellin, M.W.: JPEG 2000: Image Compression Fundamentals, Standards and Practice. Kluwer International Series in Engineering and Computer Science (2000)
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)
International Standard ISO/IEC 15444-1, JPEG2000 Core Coding System (December 2000)
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)
Web site, http://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio
Huynh-Thu, Q., Ghanbari, M.: Scope of validity of PSNR in image/video quality assessment. IEEE Electronics Letters 44(13), 800–801
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
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Bisio, I., Lavagetto, F., Marchese, M. (2010). Comparative Analysis of Image Compression Algorithms for Deep Space Communications Systems. In: Sithamparanathan, K., Marchese, M., Ruggieri, M., Bisio, I. (eds) Personal Satellite Services. PSATS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13618-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-13618-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13617-7
Online ISBN: 978-3-642-13618-4
eBook Packages: Computer ScienceComputer Science (R0)