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Proceedings Paper

Parallel implementation of a new compression algorithm for SAR images
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Paper Abstract

In this paper we discuss a first parallel implementation of our new compression algorithm for lossy and lossless image compression. The compression algorithm is based on a new method of `dynamic quantization' of the coefficients of the wavelet transform applied on the data. The parallel implementation of the algorithm is on the Italian QUADRICS parallel supercomputer of the Alenia-Space Co. This implementation follows the principles of our `dynamic perceptron' neural algorithm we presented elsewhere. The results of the comparison between the performances of our compression prototype and the usual algorithms for image compression will also be discussed. The tests were made on standard SAR images of the European Space Agency. The results suggest this parallel implementation is able to perform a real time efficient compression of SAR image (15 Mb/sec).

Paper Details

Date Published: 4 April 1997
PDF: 12 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271547
Show Author Affiliations
Antonio Luigi Perrone, TER (Italy), INFN (Italy), and Pontifical Lateran Univ. (Italy)
Gianfranco Basti, INFN (Italy) and Pontifical Lateran Univ. (Italy)


Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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