Title :
Entropy-constrained residual vector quantization
Author :
Kossentin, Faouzi ; Smith, Mark J T ; Barnes, C.F.
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
The authors introduce a novel variable-rate residual vector quantizer (RVQ) where the source entropy is exploited. Necessary conditions for the optimality of this RVQ are presented as well as a novel entropy-constrained RVQ (EC-RVQ) design algorithm EC-RVQ is shown simultaneously to outperform entropy-constrained VQ (EC-VQ) in terms of performance, memory, and computation. The low cost of EC-RVQ permits the use of high-rate codebooks and/or codebooks with relatively large vector sizes (such as 8*8).<>
Keywords :
computational complexity; entropy; image coding; vector quantisation; algorithm; computation; entropy-constrained residual vector quantization; high-rate codebooks; memory; optimality; performance; source entropy; variable-rate residual vector quantizer;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319882
