Image Compression with Wavelet-Based Vector Quantization

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概要

• 論文の詳細を見る

• A wavelet-based vector quantization scheme for image compression is introduced here. The proposed scheme obtains a better compression efficiency by the following three methods. (1) Utilizing the correlation among wavelet coefficients. (2) Placing different emphasis on wavelet coefficients at different levels. (3) Preserving the most important information of the image. In our experiments, simulation results show that this technique outperforms the recent SMVQ-ABC [1] and WTC-NIVQ [2] techniques.

• 社団法人電子情報通信学会の論文
• 2003-04-01

著者

• Shie Shih-chieh

  Department Of Computer Science And Information Engineering National Dong Hwa University

• LIN Shinfeng

  Department of Computer Science and Information Engineering,National Dong Hwa University

• LEE Kuo-Yuan

  Department of Computer Science and Information Engineering,National Dong Hwa University

• Lin Shinfeng

  Department Of Computer Science And Information Engineering National Dong Hwa University

• Lee Kuo-yuan

  Department Of Computer Science And Information Engineering National Dong Hwa University

関連論文

• Image Compression with Wavelet-Based Vector Quantization
• Adaptive Data Hiding Based on SMVQ Prediction(Application Information Security)

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