Simple improved full search for vector quantization based on Winograd's identity

Kuo Liang Chung; Wen Ming Yan; Jung Gen Wu

doi:10.1109/97.883363

Simple improved full search for vector quantization based on Winograd's identity

Kuo Liang Chung, Wen Ming Yan, Jung Gen Wu

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Vector quantization (VQ) technique is a well known method in image compression. Employing Winograd's identity, this letter presents a simple improved method in order to cut the computation time in the full search method for VQ nearly 50%. Some experiments are carried out to confirm the theoretical analysis.

Original language	English
Pages (from-to)	342-344
Number of pages	3
Journal	IEEE Signal Processing Letters
Volume	7
Issue number	12
DOIs	https://doi.org/10.1109/97.883363
Publication status	Published - 2000 Dec

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/97.883363

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title = "Simple improved full search for vector quantization based on Winograd's identity",

abstract = "Vector quantization (VQ) technique is a well known method in image compression. Employing Winograd's identity, this letter presents a simple improved method in order to cut the computation time in the full search method for VQ nearly 50%. Some experiments are carried out to confirm the theoretical analysis.",

author = "Chung, {Kuo Liang} and Yan, {Wen Ming} and Wu, {Jung Gen}",

note = "Funding Information: Manuscript received July 17, 2000. This work was supported in part by Grants NSC89-2213-E011-061, NSC87-2119-M002-006, and NSC89-2614-H-003-001-F20, National Science Council, Taiwan, R.O.C. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. R. L. de Queiroz.",

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AU - Chung, Kuo Liang

AU - Yan, Wen Ming

AU - Wu, Jung Gen

N1 - Funding Information: Manuscript received July 17, 2000. This work was supported in part by Grants NSC89-2213-E011-061, NSC87-2119-M002-006, and NSC89-2614-H-003-001-F20, National Science Council, Taiwan, R.O.C. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. R. L. de Queiroz.

PY - 2000/12

Y1 - 2000/12

N2 - Vector quantization (VQ) technique is a well known method in image compression. Employing Winograd's identity, this letter presents a simple improved method in order to cut the computation time in the full search method for VQ nearly 50%. Some experiments are carried out to confirm the theoretical analysis.

AB - Vector quantization (VQ) technique is a well known method in image compression. Employing Winograd's identity, this letter presents a simple improved method in order to cut the computation time in the full search method for VQ nearly 50%. Some experiments are carried out to confirm the theoretical analysis.

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Simple improved full search for vector quantization based on Winograd's identity

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