A Fast Encoding Method for Vector Quantization Using L_1 and L_2 Norms to Narrow Necessary Search Scope(Image Processing, Image Pattern Recognition)
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概要
- 論文の詳細を見る
A fast winner search method based on separating all codewords in the original codebook completely into a promising group and an impossible group is proposed. Group separation is realized by using sorted both L_1 and L_2 norms independently. As a result, the necessary search scope that guarantees full search equivalent PSNR can be limited to the common part of the 2 individual promising groups. The high search efficiency is confirmed by experimental results.
- 社団法人電子情報通信学会の論文
- 2003-11-01
著者
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Kotani K
Department Of Electronic Engineering Graduate School Of Engineering Tohoku University
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Kotani Koji
Graduate School Of Engineering Tohoku University
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Kotani Koji
Department Of Electronic Engineering Graduate School Of Engineering Tohoku University
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OHMI Tadahiro
New Industry Creation Hatchery Center, Tohoku University
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Pan Z
New Industry Creation Hatchery Center Tohoku University
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PAN Zhibin
New Industry Creation Hatchery Center, Tohoku University
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Kotani Koji
Laboratory For Electronic Intelligent Systems Research Institute Of Electrical Communication Tohoku
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Kotani K
Tohoku Univ. Sendai‐shi Jpn
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Pan Zhibin
New Industry Creation Hatchery Center Tohoku University
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Ohmi Tadahiro
New Industry Creation Hatchery Center Future Information Industry Creation Center Tohoku University
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Ohmi Tadahiro
New Industry Creation Hatchery Center (niche) Tohoku University
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