Abstract | ||
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The authors propose a new wavelet image coding technique for synthetic aperture radar (SAR) data compression called a progressive space-frequency quantization (PSFQ). PSFQ performs spatial quantization via rate distortion-optimized zerotree pruning of wavelet coefficients that are coded using a progressive subband coding technique. They compared the performances of zerotree-based methods: EZW, SPI... |
Year | DOI | Venue |
---|---|---|
2002 | 10.1109/36.981344 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Frequency,Quantization,Data compression,Image reconstruction,Image coding,Synthetic aperture radar,Rate distortion theory,Wavelet coefficients,Rate-distortion,Probability density function | Computer vision,Set partitioning in hierarchical trees,Synthetic aperture radar,Sub-band coding,Artificial intelligence,Quantization (signal processing),Data compression,Rate–distortion theory,Mathematics,Wavelet transform,Wavelet | Journal |
Volume | Issue | ISSN |
40 | 1 | 0196-2892 |
Citations | PageRank | References |
6 | 0.58 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
D. Gleich | 1 | 7 | 0.98 |
P. Planinšič | 2 | 27 | 7.70 |
B. Gergič | 3 | 15 | 1.65 |
Zarko Cucej | 4 | 18 | 3.59 |