A High Compression Algorithm for Synthetic Aperture Sonar and Radar Images

We present a novel compression algorithm that is suitable for coherent imaging systems such as sonar or radar images. The algorithm is tested on real data and shown to greatly outperform JPEG, JPEG2000, WebP, SPIHT for several metrics, easily reaching a hundredfold compression factor and breaking the consensus that coherent images are hard to compress. Our approach is based on a statistical representation of speckle in a wavelet pyramid, allowing aggressive compression while retaining realistic speckle.

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Published
2025-06-16
DOI
https://doi.org/10.1109/oceans58557.2025.11104377
Primary Topic
Advanced Data Compression Techniques
Type
article
Field-Weighted Citation Impact
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article

A High Compression Algorithm for Synthetic Aperture Sonar and Radar Images

Andreas Arnold-Bos
Advanced Data Compression Techniques
article

A High Compression Algorithm for Synthetic Aperture Sonar and Radar Images

Andreas Arnold-Bos
article en

Abstract

We present a novel compression algorithm that is suitable for coherent imaging systems such as sonar or radar images. The algorithm is tested on real data and shown to greatly outperform JPEG, JPEG2000, WebP, SPIHT for several metrics, easily reaching a hundredfold compression factor and breaking the consensus that coherent images are hard to compress. Our approach is based on a statistical representation of speckle in a wavelet pyramid, allowing aggressive compression while retaining realistic speckle.

Thales (Australia) (AU)
Affordable and clean energy
Openalex Percentile: Top 80%
Advanced Data Compression Techniques
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A High Compression Algorithm for Synthetic Aperture Sonar and Radar Images — Andreas Arnold-Bos · (2025) | TGRS Research Map | TGRS