# A COMPARATIVE STUDY TO DESIGN A CODE BOOK FOR VECTOR QUANTIZATION

### Yoshitaka Takeda, Eiki Noro, Junji Maeda, Yukinori Suzuki

#### 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