Parallel implementation of a new compression algorithm for SAR images

Antonio Luigi Perrone; Gianfranco Basti

doi:10.1117/12.271547

4 April 1997 Parallel implementation of a new compression algorithm for SAR images

Proceedings Volume 3077, Applications and Science of Artificial Neural Networks III; (1997) https://doi.org/10.1117/12.271547
Event: AeroSense '97, 1997, Orlando, FL, United States

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).

Citation Download Citation

Antonio Luigi Perrone and Gianfranco Basti "Parallel implementation of a new compression algorithm for SAR images", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); https://doi.org/10.1117/12.271547

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