图像压缩技术中新型算术编码的研究与应用  

Research and Application of Image Compression Arithmetic Coding Techniques

作　　者：周晶[1] 

机构地区：[1]黑龙江省科学院自动化研究所,黑龙江哈尔滨150090

出　　处：《自动化技术与应用》2015年第4期47-49,共3页Techniques of Automation and Applications

摘　　要：在计算机科学领域和网络领域中,图像压缩技术的发展是现行的一个必然趋势,无论是有损压缩还是无损压缩,算术编码都是必不可少的一个环节。在图像压缩的技术中,算术编码占了很大的比重它提供了一种有效去除冗余度的机制,是一种目前为止编码效率最高的统计熵编码方法,他比现在最流行的霍夫曼编码的效率高10%左右,但它的编码太过复杂和一些专利方面的制约,所以没有霍夫曼编码那么广泛,我们主要研究图像信息源统计特性的基础上,分别以H.263格式和JPEG格式中的算术编码器为例,具体分析算术编码方法在动态图片和静态图片编码领域内的应用和前景。In the field of computer science and network, the development of image compression technology is an inevitable trend of the current, both the lossy compression or lossless compression, arithmetic coding is an essential part. In the image compression technique, arithmctic coding accounts for a large proportion and it provides an effective mechanism for redundancy removal, is a so far the highest coding efficiency of statistical entropy coding method, higher than efficiency of Hoffman code around 10%. But it＇s too complex and some code patent restriction, so did Hoffinan code so widely, the source image infomaation based on the statistical properties of the arithmetic encoder in H.263 standard is studied, and JPEG standard respectively as an example. The application and prospect of arithmetic coding method in dynamic image and static image coding in the field are analyzed.

关 键 词：算术编码 图像压缩 去除冗余度 H.263标准 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]