A Fast Search Method for Vector Quantization Using Enhanced Sum Pyramid Data Structure(Image)
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概要
- 論文の詳細を見る
Conventional vector quantization (VQ) encoding method by full search (FS) is very heavy computationally but it can reach the best PSNR. In order to speed up the encoding process, many fast search methods have been developed. Base on the concept of multi-resolutions, the FS equivalent fast search methods using mean-type pyramid data structure have been proposed already in [2]-[4]. In this Letter, an enhanced sum pyramid data structure is suggested to improve search efficiency further, which benefits from (1) exact computing in integer form, (2) one more 2-dimensional new resolution and (3) an optimal pair selecting way for constructing the new resolution. Experimental results show that a lot of codewords can be rejected efficiently by using this added new resolution that features lower dimensions and earlier difference check order.
- 社団法人電子情報通信学会の論文
- 2004-03-01
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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