Name
Abstract | ||
|---|---|---|
In this letter, we propose a new image coding technique, which is a combination of space frequency quantization and a context-based modeling using fuzzy logic. The compression results showed that the proposed coder outperforms the state-of-the-art coders in the rate-distortion sense for compression of processed synthetic aperture radar amplitude data. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/LGRS.2004.824765 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Quantization,Data compression,Image coding,Wavelet coefficients,Context modeling,Optical sensors,Adaptive optics,Fuzzy logic,Rate-distortion,Frequency | Computer vision,Texture compression,Data compression ratio,Synthetic aperture radar,Color Cell Compression,Vector quantization,Artificial intelligence,Data compression,Mathematics,Image compression,Lossless compression | Journal |
Volume | Issue | ISSN |
1 | 2 | 1545-598X |
Citations | PageRank | References |
1 | 0.41 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Gleich | 1 | 7 | 0.98 |
| B. Gergič | 2 | 15 | 1.65 |
| Zarko Cucej | 3 | 18 | 3.59 |
| P. Planinšič | 4 | 27 | 7.70 |