TY - GEN
T1 - An improved vector quantizer design method
T2 - 9th Joint Conference on Information Sciences, JCIS 2006
AU - Hou, Ting Wei
AU - Chen, Yuan Tsung
AU - Ku, Houng O.
PY - 2006
Y1 - 2006
N2 - Generalized Lloyd Algorithm(GLA) is important in vector quantizer design. It runs fast, but it is sensitive to initial conditions and it may find a local optimum. We propose an improved approach based on GLA, named vector quantized codebook reorganization algorithm (VQCRA). VQCRA finds better codebooks in less time, and is insensitive to initial conditions as compared with GLA.. The experiments are performed on the 10 images extracted from USC-SIPI Image Database. The performance improvement ranges from 7.3% (the size of the codebook is 32) to 46.4% (the size of the codebook is 512).
AB - Generalized Lloyd Algorithm(GLA) is important in vector quantizer design. It runs fast, but it is sensitive to initial conditions and it may find a local optimum. We propose an improved approach based on GLA, named vector quantized codebook reorganization algorithm (VQCRA). VQCRA finds better codebooks in less time, and is insensitive to initial conditions as compared with GLA.. The experiments are performed on the 10 images extracted from USC-SIPI Image Database. The performance improvement ranges from 7.3% (the size of the codebook is 32) to 46.4% (the size of the codebook is 512).
UR - http://www.scopus.com/inward/record.url?scp=33847720197&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847720197&partnerID=8YFLogxK
U2 - 10.2991/jcis.2006.264
DO - 10.2991/jcis.2006.264
M3 - Conference contribution
AN - SCOPUS:33847720197
SN - 9078677015
SN - 9789078677017
T3 - Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
BT - Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
Y2 - 8 October 2006 through 11 October 2006
ER -