| 低通图象的自适应混合矢量量化编码 |
| |
| 引用本文： | 王富生, 常义林, 胡征. 低通图象的自适应混合矢量量化编码[J]. 电子与信息学报, 1991, 13(3): 250-254. |
| |
| 作者姓名： | 王富生 常义林 胡征 |
| |
| 作者单位： | 西安电子科技大学106研究室 西安(王富生，常义林)，西安电子科技大学106研究室 西安(胡征) |
| |
| 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。
|
| 关 键 词： | 图象分解 图象编码 矢量量化 |
| 收稿时间： | 1989-12-18 |
| 修稿时间： | 1990-11-17 |
LOW-PASS COMPONENT CODING USING ADAPTIVE HYBRID VECTOR QUANTIZATION |
| |
| Wang Fusheng, Chang Yilin, Hu Zheng. LOW-PASS COMPONENT CODING USING ADAPTIVE HYBRID VECTOR QUANTIZATION[J]. Journal of Electronics & Information Technology, 1991, 13(3): 250-254. |
| |
| Authors: | Wang Fusheng Chang Yilin Hu Zheng |
| |
| Affiliation: | Xidian University Xi'an |
| |
| 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. |
| |
| Keywords: | Image decomposition lmage coding Vector quantization |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《电子与信息学报》浏览原始摘要信息 |
|
点击此处可从《电子与信息学报》下载全文 |
