1 July 1993 Subband image coding using jointly localized filter banks and entropy coding based on vector quantization
Author Affiliations +
A method for image compression based on subband decomposition is presented. We describe a new filter bank design method for image coding applications and a new entropy coding algorithm for the compression of subband images. A set of relevant optimization criteria is defined for the filter bank design. For the compression, a composite source model is defined by combining vector quantization (VQ) and scalar quantization (SQ) with entropy coding. In the proposed scheme, VQ exploits the remaining statistical dependencies among the subband samples, while SQ allows an optimal control on local distortions. The system is based on a statistical model that uses VQ information to generate low entropy probability tables for an arithmetic coder. The bit rate can be shared between the VQ rate and the SQ rate, allowing many possible configurations in terms of performance and implementation complexity. The proposed system shows improved performance when compared with other existing methods.
Andre Nicoulin, Andre Nicoulin, Marco Mattavelli, Marco Mattavelli, Wei Li, Wei Li, Murat Kunt, Murat Kunt, } "Subband image coding using jointly localized filter banks and entropy coding based on vector quantization," Optical Engineering 32(7), (1 July 1993). https://doi.org/10.1117/12.139808 . Submission:


State reduction of recursive median filters
Proceedings of SPIE (March 04 1999)
Adaptive lapped transform-based image and video coding
Proceedings of SPIE (January 09 1997)
Linear restoration of block-transform-coded motion video
Proceedings of SPIE (January 09 1997)
Intraframe And Interframe Adaptive Transform Coding
Proceedings of SPIE (October 29 1975)
JPEG decompression with reduced artifacts
Proceedings of SPIE (April 30 1994)
Scale estimation in two-band filter attacks on QIM watermarks
Proceedings of SPIE (February 14 2006)

Back to Top