Modeling of contours in wavelet domain for generalized lifting image compression

Julio C. Rolón, Antonio Ortega, Philippe Salembier

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Resumen

This paper introduces the design of context-based models of contours in the wavelet domain, which are used to construct generalized lifting (GL) mappings for image compression. The GL context-based mapping may significantly reduce the signal energy and the resulting bitrate. Here, we propose a strategy to define a reduced set of structured models to design the GL. The models capture the contour structures and are contrast-invariant. Initial experimental results applying the strategy on a wavelet subband exhibit potential gains. Iterations of the GL scheme as well as an adaptive entropy coding strategy may increase the coding gain.

Idioma originalInglés
Título de la publicación alojada2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Páginas1025-1028
Número de páginas4
DOI
EstadoPublicada - 2009
Evento2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwán
Duración: 19 abr. 200924 abr. 2009

Serie de la publicación

NombreICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (versión impresa)1520-6149

Conferencia

Conferencia2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
País/TerritorioTaiwán
CiudadTaipei
Período19/04/0924/04/09

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