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ICASSP
2009
IEEE

Modeling of contours in wavelet domain for generalized lifting image compression

10 years 4 months ago
Modeling of contours in wavelet domain for generalized lifting image compression
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.
Julio C. Rolon, Antonio Ortega, Philippe Salembier
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Julio C. Rolon, Antonio Ortega, Philippe Salembier
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