图像压缩中算术编码器的比较研究  

Comparative Study of Arithmetic Encoder in Image Compression

作　　者：周菲菲[1] 张晶晶[1] 罗晓玲[1] 

机构地区：[1]装甲兵工程学院信息工程系,北京100072

出　　处：《现代计算机》2016年第9期22-26,共5页Modern Computer

基　　金：学院创新基金项目(No.2013XX029)

摘　　要：算术编码是基于统计的、无损数据压缩效率最高的熵编码方法,广泛应用于图像和视频压缩中,其性能往往直接决定算法的压缩效率。分析影响算术编码性能的各种因素,并对其中最关键的概率估计方法进行实验对比分析,给出设计概率估计方法应当遵循的准则,对算术编码器的进一步高效应用具有指导意义。Arithmetic coding is the most efficient entropy coding method based on statistical and lossless data compression. It is widely used in image and video compression, and its performance directly determines the efficiency of the algorithm. Various factors influencing the performance of arithmetic coding is analyzed. And the most critical probability estimation method to carry on the comparative analysis of the experiment, and gives the design probability estimation methods should follow the guidelines, the arithmetic coder further, application has guiding significance.

关 键 词：算术编码 概率估计 图像压缩 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]