低通图象的自适应混合矢量量化编码
LOW-PASS COMPONENT CODING USING ADAPTIVE HYBRID VECTOR QUANTIZATION
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摘要: 本文提出了一种基于图象分解与自适应混合矢量量化的静态图象高效编码方案,详细介绍了低通图象的混合矢量量化编码方法。就低频分量而言,在80∶1的压缩比时可以获得较好的译码图象质量。
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关键词:
- 图象分解; 图象编码; 矢量量化
Abstract: Based on image decomposition and adaptive hybrid vector quantization, a high-compression image coding scheme is presented. The coding method of low-pass com-ponent by adaptive hybrid vector quantization is described in detail. As far as low-pass com-ponent is concerned, the acceptable result can be obtained by this scheme with compression ratio higher than 80:1. -
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