Abstract
This paper proposes a new compression framework for SAR images. A maximum a posteriori (MAP) estimator is first utilized for despeckling, and by using total variation (TV), the denoised SAR image is decomposed into structure and texture. Such two components undergo discrete wavelet transform and wavelet packet transform, respectively. And then, according to their unique characteristics, two different wavelet coding algorithms are presented to encode the respective component. Experimental results shown that the reconstructed image has good visual quality and the peak signal-to-noise ratio (PSNR) is excellent.
| Original language | English |
|---|---|
| Title of host publication | IET International Radar Conference 2009 |
| Edition | 551 CP |
| DOIs | |
| Publication status | Published - 2009 |
| Event | IET International Radar Conference 2009 - Guilin, China Duration: 20 Apr 2009 → 22 Apr 2009 |
Publication series
| Name | IET Conference Publications |
|---|---|
| Number | 551 CP |
Conference
| Conference | IET International Radar Conference 2009 |
|---|---|
| Country/Territory | China |
| City | Guilin |
| Period | 20/04/09 → 22/04/09 |
Keywords
- Discrete Wavelet Transform
- Image Compression
- Synthetic Aperture Radar (SAR)
- Total Variation
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Deng, C. W., & Zhao, B. J. (2009). SAR image compression algorithm based on total variation decomposition. In IET International Radar Conference 2009 (551 CP ed.). (IET Conference Publications; No. 551 CP). https://doi.org/10.1049/cp.2009.0452