低通圖象的自適應(yīng)混合矢量量化編碼
LOW-PASS COMPONENT CODING USING ADAPTIVE HYBRID VECTOR QUANTIZATION
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摘要: 本文提出了一種基于圖象分解與自適應(yīng)混合矢量量化的靜態(tài)圖象高效編碼方案,詳細介紹了低通圖象的混合矢量量化編碼方法。就低頻分量而言,在80∶1的壓縮比時可以獲得較好的譯碼圖象質(zhì)量。
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關(guān)鍵詞:
- 圖象分解; 圖象編碼; 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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