ICIP 2006, Atlanta, GA
 

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Paper:WP-P6.8
Session:Remote Sensing Imaging and Processing
Time:Wednesday, October 11, 14:20 - 17:00
Presentation: Poster
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.