An efficient hybrid image vector quantization (VQ) technique based on a classification in the DCT domain is presented in this letter. This algorithm combines two kinds of VQ, predictive VQ (PVQ) and discrete cosine transform domain VQ (DCTVQ), and adopts a simple classifier which employs only three DCT coefficients in the 8
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Zhe-Ming LU, Hui PEI, "Hybrid Image Compression Scheme Based on PVQ and DCTVQ" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 10, pp. 2422-2426, October 2005, doi: 10.1093/ietisy/e88-d.10.2422.
Abstract: An efficient hybrid image vector quantization (VQ) technique based on a classification in the DCT domain is presented in this letter. This algorithm combines two kinds of VQ, predictive VQ (PVQ) and discrete cosine transform domain VQ (DCTVQ), and adopts a simple classifier which employs only three DCT coefficients in the 8
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.10.2422/_p
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@ARTICLE{e88-d_10_2422,
author={Zhe-Ming LU, Hui PEI, },
journal={IEICE TRANSACTIONS on Information},
title={Hybrid Image Compression Scheme Based on PVQ and DCTVQ},
year={2005},
volume={E88-D},
number={10},
pages={2422-2426},
abstract={An efficient hybrid image vector quantization (VQ) technique based on a classification in the DCT domain is presented in this letter. This algorithm combines two kinds of VQ, predictive VQ (PVQ) and discrete cosine transform domain VQ (DCTVQ), and adopts a simple classifier which employs only three DCT coefficients in the 8
keywords={},
doi={10.1093/ietisy/e88-d.10.2422},
ISSN={},
month={October},}
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TY - JOUR
TI - Hybrid Image Compression Scheme Based on PVQ and DCTVQ
T2 - IEICE TRANSACTIONS on Information
SP - 2422
EP - 2426
AU - Zhe-Ming LU
AU - Hui PEI
PY - 2005
DO - 10.1093/ietisy/e88-d.10.2422
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2005
AB - An efficient hybrid image vector quantization (VQ) technique based on a classification in the DCT domain is presented in this letter. This algorithm combines two kinds of VQ, predictive VQ (PVQ) and discrete cosine transform domain VQ (DCTVQ), and adopts a simple classifier which employs only three DCT coefficients in the 8
ER -