Adaptive Region-Based Compression of Multispectral Images

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.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Marco Cagnazzo, Raffaele Gaetano, Sara Parrilli, Luisa Verdoliva
• Keywords: Class-based Schemes, ICIP 2006, Image Processing, Multispectral Images Enables, Region-based Coding Schemes, Satisfactory Rate-distortion Performance, Transform Coding Techniques