Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization
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概要
- 論文の詳細を見る
Block truncation coding (BTC) is an efficient image compression algorithm that generates a constant output bit-rate. For color image compression, vector quantization (VQ) is exploited to improve the coding efficiency. In this letter, we propose an improved VQ based BTC (VQ-BTC) algorithm using template matching and Lloyd quantization (LQ). The experimental results show that the proposed method improves the PSNR by 0.9dB in average compared to the conventional VQ-BTC algorithms.
- （社）電子情報通信学会の論文
- 2009-12-01
著者
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KO Sung-Jea
Department of Electronics Engineering, Korea University
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JUNG Seung-Won
Department of Electronic Engineering, Korea University
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YOON Yeo-Jin
Department of Electronic Engineering, Korea University
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NAM Hyeong-Min
Department of Electronic Engineering, Korea University
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Ko Sung-jea
Department Of Electronic Engineering Korea University
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Yoon Yeo-jin
Department Of Electronic Engineering Korea University
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Ko Sung‐jea
Department Of Electronic Engineering Korea University
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Nam Hyeong-min
Department Of Electronic Engineering Korea University
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Jung Seung-won
Department Of Electronic Engineering Korea University
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Ko Sung-jea
Department Of Electrical Engineering Korea University
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Jung Seung-won
Department Of Electrical Engineering Korea University
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