DocumentCode :
2605924
Title :
Application of entropy-constrained RVQ to coding image subbands
Author :
Kossentini, Faouzi ; Chung, Wilson ; Smith, Mark J T
Author_Institution :
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
1993
fDate :
3-6 May 1993
Firstpage :
683
Abstract :
A recent study on the application of entropy constrained residual vector quantization (EC-RVQ) to subband image coding is discussed. The newly introduced EC-RVQ has produced excellent performance results when applied directly to coding images, and is also more cost efficient than competing vector quantization (VQ) methods which have so far been reported in the literature. Experimental results show that subband coding with EC-RVQ performs very well, and place it among the best techniques presently available in terms of performance. A discussion of the new system is given, and some performance comparisons are presented
Keywords :
entropy codes; image coding; vector quantisation; entropy-constrained RVQ; image coding; image subbands; performance comparisons; residual vector quantization; subband coding; Arithmetic; Computational complexity; Contracts; Costs; Entropy coding; Image coding; PSNR; Paper technology; Transform coding; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
Type :
conf
DOI :
10.1109/ISCAS.1993.393813
Filename :
393813
Link To Document :
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