Fuzzy-coded space-frequency quantization for SAR data compression

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...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2004-04, Vol.1 (2), p.90-93
Main Authors: Gleich, D., Gergic, B., Cucej, Z., Planinsic, P.
Format: Article
Language:English
Subjects:
Adaptive optics
Coders
Compressing
Context modeling
Data compression
Frequency
Fuzzy logic
Image coding
Optical sensors
Quantization
Rate-distortion
State of the art
Synthetic aperture radar
Wavelet coefficients
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Description
Summary: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.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2004.824765