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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| Veröffentlicht in: | IEEE geoscience and remote sensing letters 2004-04, Vol.1 (2), p.90-93 |
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| container_end_page | 93 |
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| container_title | IEEE geoscience and remote sensing letters |
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| creator | Gleich, D. Gergic, B. Cucej, Z. Planinsic, P. |
| description | 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. |
| doi_str_mv | 10.1109/LGRS.2004.824765 |
| format | Article |
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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.</description><subject>Adaptive optics</subject><subject>Coders</subject><subject>Compressing</subject><subject>Context modeling</subject><subject>Data compression</subject><subject>Frequency</subject><subject>Fuzzy logic</subject><subject>Image coding</subject><subject>Optical sensors</subject><subject>Quantization</subject><subject>Rate-distortion</subject><subject>State of the art</subject><subject>Synthetic aperture radar</subject><subject>Wavelet coefficients</subject><issn>1545-598X</issn><issn>1558-0571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqNkU1Lw0AQhhdRsFbvgpfgQU-p-5nMHkuxVSgIrYK3ZbMfkNIm7W5yaH-9CREED-JpBuZ5hxkehG4JnhCC5dNysVpPKMZ8ApTnmThDIyIEpFjk5LzvuUiFhM9LdBXjBmPKAfIRms7b0-mYmto6m8S9Ni71wR1aV5ljcmh11ZQn3ZR1lfg6JOvpKrG60Ympd_vgYuwG1-jC6210N991jD7mz--zl3T5tnidTZepYUCb1BnhDQbBPbOeO8YNdjkUUrNMA_fCkpxZCdwU2oIUQhuwGZFFkWlOpJNsjB6HvftQd_fFRu3KaNx2qytXt1FJnEsAKkVHPvxJUgBJOfkPSHPBeN6B97_ATd2GqntXATBBqQDeQXiATKhjDM6rfSh3OhwVwap3pHpHqnekBkdd5G6IlM65H5xKwrq9Xxt2jOk</recordid><startdate>20040401</startdate><enddate>20040401</enddate><creator>Gleich, D.</creator><creator>Gergic, B.</creator><creator>Cucej, Z.</creator><creator>Planinsic, P.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE geoscience and remote sensing letters, 2004-04, Vol.1 (2), p.90-93 |
| issn | 1545-598X 1558-0571 |
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| source | IEEE Electronic Library (IEL) |
| 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 |
| title | Fuzzy-coded space-frequency quantization for SAR data compression |
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