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| 自适应多层次矢量量化方法 |
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钟声1,2,3, 石青云1,2,3, 程民德1,2,3
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1.北京大学数学系，北京 100871;2.北京大学信息科学中心， 北京 100871;3.北京大学视觉听觉信息处理国家重点实验室，北京 100871
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| 摘要: |
| 我们在本文中提出了一个矢量量化的自适应多层次算法。首先生成一个基本码本和码字序列，然后码字序列再被进一步编成一个多层次的码，该算法利用了图象上更大范围的结构特点和相关性，减少了单层矢量量化方法得到的码的冗余信息，从而有效地提高了压缩比，同时却没有增加误差，也未增加很多计算量。 |
| 关键词: 自适应矢量量化，索引图，索引码本 |
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| 基金项目:国家自然科学基金 |
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| ADAPTIVE HIERARCHICAL VECTOR QUANTIZATION |
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Zhong Sheng,Shi Qingyun,Cheng Minde
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| Abstract: |
| This paper proposes an adaptive hierarchical vector quantization method for image coding. First, a basic codebook and the codes are generated adaptively. Then the codes are used to form the second layer codebook. Finally, the codes are coded by the second layer codebook and form a multilayer code sequence. This hierarchical method makes use of the structural features and correlations in larger regions and thus remove much redundance in the codes obtained by a single layer VQ method. A much lower bit rate can beachieved without causing any more distortion and more computation. |
| Key words: Adaptive vector quantization index map index codebook. |
