Image Coding Based on Classified Side-Match Vector Quantization
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概要
- 論文の詳細を見る
The classified side-match vector quantizer, CSMVQ, has already been presented for low-bit-rate image encoding. It exploits a block classifier to decide which class the input vector belongs to using the variances of the upper and left codewords. However, this block classifier doesn't take the variance of the current input vector itself into account. This letter presents a new CSMVQ in which a two-level block classifier is used to classify input vectors and two different master codebooks are used for generating the state codebook according to the variance of the input vector. Experimental results prove the effectiveness of the proposed CSMVQ.
- 社団法人電子情報通信学会の論文
- 2000-12-25
著者
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Lu Z‐m
Harbin Inst. Of Technol. Harbin Chn
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Lu Zhe-ming
The Department Of Automatic Test And Control Harbin Institute Of Technology
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PAN Jeng-Shyang
the Department of Electronic Engineering, National Kaohsiung Institute of Technology
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SUN Sheng-He
the Department of Automatic Test and Control, Harbin Institute of Technology
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SUN Sheng-He
Department of Automatic Test and Control, Harbin Institute of Technology
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Sun S‐h
Harbin Inst. Of Technol. Harbin Chn
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Sun Sheng-he
The Department Of Automatic Test And Control Harbin Institute Of Technology
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Pan Jeng-shyang
The Department Of Electronic Engineering National Kaohsiung Institute Of Technology
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