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Technical Program
Paper Detail
| Paper: | WP-P6.8 |
| Session: | Remote Sensing Imaging and Processing |
| Time: | Wednesday, October 11, 14:20 - 17:00 |
| Presentation: |
Poster
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| Title: |
ADAPTIVE REGION-BASED COMPRESSION OF MULTISPECTRAL IMAGES |
| Authors: |
Marco Cagnazzo; Università di Napoli Federico II | | | | | Raffaele Gaetano; Università di Napoli Federico II | | | | | Sara Parrilli; Università di Napoli Federico II | | | | | Luisa Verdoliva; Università di Napoli Federico II | | |
| Abstract: |
The region-based description of multispectral images enables important high-level tasks such as data mining and retrieval, and region-of-interest selection. In order to obtain an efficient representation of such images we resort to adaptive transform coding techniques. Such techniques, however, require a considerable information overhead, which must be carefully managed to obtain a satisfactory rate-distortion performance. In this work we develop several region-based coding schemes and compare them with conventional (non-adaptive) and class-based schemes, so as to single out the rate-distortion gains/losses of this approach. |
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