A COMPARATIVE STUDY TO DESIGN A CODE BOOK FOR VECTOR QUANTIZATION

Yoshitaka Takeda, Eiki Noro, Junji Maeda, Yukinori Suzuki

2010

Abstract

In this paper, we examined six algorithms to construct an optimal code book (CB) for vector quantization (VQ) experimentally. Four algorithms are GLA (generalized Lloyd algorithm), FCM (fuzzy c meams), GA (genetic algorithm), and AP (affinity propagation). The other two algorithms are hybrid methods: AP+GLA and GA+FCM. Performance of the algorithms was evaluated by both PSNR (peak-signal-to-noise-ratio) and NPIQM (normalized perceptual image quality measure) of decoded images. Computational experiments showed that the performance of each algorithm could be categorized as higher performance and lower performance. GLA, AP and AP+GLA belong to the higher performance group, while FCM, GA and GA+FCM belong to the lower performance group. AP+GLA shows the best performance of algorithms in the higher performance group. Thus, AP+GLA is an optimal algorithm for constructing a CB for VQ.

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Paper Citation


in Harvard Style

Takeda Y., Noro E., Maeda J. and Suzuki Y. (2010). A COMPARATIVE STUDY TO DESIGN A CODE BOOK FOR VECTOR QUANTIZATION . In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 79-84. DOI: 10.5220/0003064200790084


in Bibtex Style

@conference{icfc10,
author={Yoshitaka Takeda and Eiki Noro and Junji Maeda and Yukinori Suzuki},
title={A COMPARATIVE STUDY TO DESIGN A CODE BOOK FOR VECTOR QUANTIZATION},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010)},
year={2010},
pages={79-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003064200790084},
isbn={978-989-8425-32-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICFC, (IJCCI 2010)
TI - A COMPARATIVE STUDY TO DESIGN A CODE BOOK FOR VECTOR QUANTIZATION
SN - 978-989-8425-32-4
AU - Takeda Y.
AU - Noro E.
AU - Maeda J.
AU - Suzuki Y.
PY - 2010
SP - 79
EP - 84
DO - 10.5220/0003064200790084