Side-Match predictive vector quantization

Authors:
Zhen Sun;Yue-Nan Li;Zhe-Ming Lu
Affiliations:
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China;Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China;Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

Citing 2
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Abstract

Vector quantization (VQ) is widely used in low bit rate image compression. In this paper, two predictive vector quantization (PVQ) algorithms that combine the concept of side-match are proposed. By controlling the quantization distortion after encoding or searching the reconstructed vector with minimum side distortion before encoding, the two proposed algorithms can decrease the quantization distortion and computational complexity respectively. The bit rates are also reduced in both algorithms by using side-math technology. The performances of the proposed algorithms are compared with several previous VQ algorithms. Simulation results have shown the efficiency of the proposed algorithms.