Evaluation of a new wavelet-based compression algorithm for synthetic aperture radar images

Jun Tian; Haitao Guo; Raymond O. Wells Jr.; C. Sidney Burrus; Jan Erik Odegard

doi:10.1117/12.242055

10 June 1996 Evaluation of a new wavelet-based compression algorithm for synthetic aperture radar images

Jun Tian, Haitao Guo, Raymond O. Wells Jr., C. Sidney Burrus, Jan Erik Odegard

Proceedings Volume 2757, Algorithms for Synthetic Aperture Radar Imagery III; (1996) https://doi.org/10.1117/12.242055
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

In this paper we will discuss the performance of a new wavelet based embedded compression algorithm on synthetic aperture radar (SAR) image data. This new algorithm uses index coding on the indices of the discrete wavelet transform of the image data and provides an embedded code to successively approximate it. Results on compressing still images, medical images as well as seismic traces indicate that the new algorithm performs quite competitively with other image compression algorithms. The evaluation for SAR image compression of it will be presented in this paper. One advantage of the new algorithm presented here is that the compressed data is encoded in such a way as to facilitate processing in the compressed wavelet domain, which is a significant aspect considering the rate at which SAR data is collected and the desire to process the data 'near real time'.

Citation Download Citation

Jun Tian, Haitao Guo, Raymond O. Wells Jr., C. Sidney Burrus, and Jan Erik Odegard "Evaluation of a new wavelet-based compression algorithm for synthetic aperture radar images", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); https://doi.org/10.1117/12.242055

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