Modeling of contours in wavelet domain for generalized lifting image compression
Document typeConference report
Rights accessOpen Access
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.
CitationRolon, J.C.; Ortega, A.; Salembier, P. Modeling of contours in wavelet domain for generalized lifting image compression. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "ICASSP 2009". Taipei: 2009, p. 1025-1028.
DL26 May 2009