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In this paper, a novel variable-rate vector quantizer (VQ) design algorithm using fuzzy clustering technique is presented. The algorithm, termed fuzzy entropy-constrained VQ (FECVQ) design algorithm, has a better rate-distortion performance than that of the usual entropy-constrained VQ (ECVQ) algorithm for variable-rate VQ design. When performing the fuzzy clustering, the FECVQ algorithm considers both the usual squared-distance measure, and the length of channel index associated with each codeword so that the average rate of the VQ can be controlled. In addition, the membership function for achieving the optimal clustering for the design of FECVQ are derived. Simulation results demonstrate that the FECVQ can be an effective alternative for the design of variable-rate VQs.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.6 pp.1109-1116

- Publication Date
- 1999/06/25

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- PAPER

- Category
- Image Theory

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Wen-Jyi HWANG, Sheng-Lin HONG, "A Fuzzy Entropy-Constrained Vector Quantizer Design Algorithm and Its Applications to Image Coding" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 6, pp. 1109-1116, June 1999, doi: .

Abstract: In this paper, a novel variable-rate vector quantizer (VQ) design algorithm using fuzzy clustering technique is presented. The algorithm, termed fuzzy entropy-constrained VQ (FECVQ) design algorithm, has a better rate-distortion performance than that of the usual entropy-constrained VQ (ECVQ) algorithm for variable-rate VQ design. When performing the fuzzy clustering, the FECVQ algorithm considers both the usual squared-distance measure, and the length of channel index associated with each codeword so that the average rate of the VQ can be controlled. In addition, the membership function for achieving the optimal clustering for the design of FECVQ are derived. Simulation results demonstrate that the FECVQ can be an effective alternative for the design of variable-rate VQs.

URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_6_1109/_p

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@ARTICLE{e82-a_6_1109,

author={Wen-Jyi HWANG, Sheng-Lin HONG, },

journal={IEICE TRANSACTIONS on Fundamentals},

title={A Fuzzy Entropy-Constrained Vector Quantizer Design Algorithm and Its Applications to Image Coding},

year={1999},

volume={E82-A},

number={6},

pages={1109-1116},

abstract={In this paper, a novel variable-rate vector quantizer (VQ) design algorithm using fuzzy clustering technique is presented. The algorithm, termed fuzzy entropy-constrained VQ (FECVQ) design algorithm, has a better rate-distortion performance than that of the usual entropy-constrained VQ (ECVQ) algorithm for variable-rate VQ design. When performing the fuzzy clustering, the FECVQ algorithm considers both the usual squared-distance measure, and the length of channel index associated with each codeword so that the average rate of the VQ can be controlled. In addition, the membership function for achieving the optimal clustering for the design of FECVQ are derived. Simulation results demonstrate that the FECVQ can be an effective alternative for the design of variable-rate VQs.},

keywords={},

doi={},

ISSN={},

month={June},}

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TY - JOUR

TI - A Fuzzy Entropy-Constrained Vector Quantizer Design Algorithm and Its Applications to Image Coding

T2 - IEICE TRANSACTIONS on Fundamentals

SP - 1109

EP - 1116

AU - Wen-Jyi HWANG

AU - Sheng-Lin HONG

PY - 1999

DO -

JO - IEICE TRANSACTIONS on Fundamentals

SN -

VL - E82-A

IS - 6

JA - IEICE TRANSACTIONS on Fundamentals

Y1 - June 1999

AB - In this paper, a novel variable-rate vector quantizer (VQ) design algorithm using fuzzy clustering technique is presented. The algorithm, termed fuzzy entropy-constrained VQ (FECVQ) design algorithm, has a better rate-distortion performance than that of the usual entropy-constrained VQ (ECVQ) algorithm for variable-rate VQ design. When performing the fuzzy clustering, the FECVQ algorithm considers both the usual squared-distance measure, and the length of channel index associated with each codeword so that the average rate of the VQ can be controlled. In addition, the membership function for achieving the optimal clustering for the design of FECVQ are derived. Simulation results demonstrate that the FECVQ can be an effective alternative for the design of variable-rate VQs.

ER -