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。
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.
出处
《昆明理工大学学报（理工版）》
2003年第1期73-76,共4页
Journal of Kunming University of Science and Technology(Natural Science Edition)
基金
云南自然科学基金(项目编号:1999F0003Q)
