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Fuzzy-Coded Space-Frequency Quantization for SAR Data Compression
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DOI：10.1109/LGRS.2004.824765.png)
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Abstract
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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.
Keywords:
Arithmetic coding
context modeling
fuzzy logic
trellis-coded quantization
wavelet transformation
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