| 基于上下文的多值图像无失真压缩 |
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| 引用本文： | 李东晖,陈建华,余锦华,刘在强.基于上下文的多值图像无失真压缩[J].昆明理工大学学报(理工版),2003,28(1):73-76. |
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| 作者姓名： | 李东晖 陈建华 余锦华 刘在强 |
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| 作者单位： | 云南大学,信息学院,云南,昆明,650091 |
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| 基金项目： | 云南自然科学基金(项目编号:1999F0003Q) |
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| 摘 要： | 基于上下文的多值图像无失真压缩能获得较高的编码效率。图像编码应充分考虑图像的统计差异性。本文在基于上下文的多值图像无失真编码中结合自适应预测、误差信号非线性分类、误差映射、以及简化的上下文。通过试验，对比各种措施的效果，模拟结果显示，参数数量大量减少，编码效率却大大提高了。
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| 关 键 词： | 多值图像 无失真图像压缩 上下文 自适应 非线性分类 图像编码 |
| 文章编号： | 1007-855X(2003)01-0073-04 |
| 修稿时间： | 2002年9月11日 |
Context-based Lossless Image Compression |
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| LI Dong-hui,CHEN Jian-hua,YU Jing-hua,LUI Zai-Qiang.Context-based Lossless Image Compression[J].Journal of Kunming University of Science and Technology(Natural Science Edition),2003,28(1):73-76. |
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| Authors: | LI Dong-hui CHEN Jian-hua YU Jing-hua LUI Zai-Qiang |
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| Abstract: | Context - based coding is highly efficient in lossless image compression. The statistical characteristics of image should be fully considered during image coding. The context - based image coding scheme is combined with adaptive prediction, nonlinear error classification, error mapping and reduced context, all of which are respectively experimented and compared with each other on effectiveness. Computer simulation shows that coding efficiency is much improved while the number of parameters is considerably reduced. |
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| Keywords: | lossless adaptive compression context adaptiveness nonlinear error classification |
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