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

資訊工程學系

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

4 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
頁（從 - 到）	342-344
頁數	3
期刊	IEEE Signal Processing Letters
卷	7
發行號	12
DOIs	https://doi.org/10.1109/97.883363
出版狀態	已發佈 - 2000 12月

ASJC Scopus subject areas

訊號處理
電氣與電子工程
應用數學

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10.1109/97.883363

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引用此

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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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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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