We present a new class of adaptive wavelet decompositions that can capture the directional nature of picture information. Our method exploits the properties of seminorms to build lifting structures able to choose between different update filters, the choice being triggered by a local gradient of the input. In order to discriminate between different geometrical information, the system makes use of multiple criteria, giving rise to multiple choice of update filters. We establish the conditions under which these decisions can be recovered at synthesis, without the need for transmitting overhead information.
Adaptive lifting schemes combining seminorms for lossless image compression
01.01.2005
153762 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Adaptive Lifting Schemes Combining Seminorms for Lossless Image Compression
British Library Conference Proceedings | 2005
|Combining Seminorms in Adaptive Lifting Schemes and Applications to Image Analysis and Compression
British Library Online Contents | 2006
|Lossless Image Compression Using an Edge Adapted Lifting Predictor
British Library Conference Proceedings | 2005
|