Abstract
In this paper, we propose a new wavelet packet image coding technique for synthetic aperture radar(SAR) remote-sensing image data compression. The image compressibility of this algorithm(WPQTCQ)is improved by incorporating wavelet packet transform for rich texture component of SAR image data, the quadtree set partition for sorting the wavelet packet transform coefficients and universal trellis coded quantization. The experimental results show that WPQTCQ is among the state-of-the-art image coders for SAR image data. To a typical SAR image at 2bpp, WPQTCQ out performs SPIHT and JPEG2000 by about 2.45dB and 1.34dB in peak signal-to-noise ratio, respectively.
| Original language | English |
|---|---|
| Pages | 1826-1829 |
| Number of pages | 4 |
| State | Published - 2003 |
| Event | 2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France Duration: 21 Jul 2003 → 25 Jul 2003 |
Conference
| Conference | 2003 IGARSS: Learning From Earth's Shapes and Colours |
|---|---|
| Country/Territory | France |
| City | Toulouse |
| Period | 21/07/03 → 25/07/03 |
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