无失真信源编码理论，作为信息论的讨论理论基础，一直以来都受到人们的广泛关注。无失真信源编码是一种可逆编码的基础，即是指当信源符号转换成代码后，可从代码无失真到恢复原信源符号。本文主要介绍了无失真编码的几种常用方法：香农码、费诺码、算术码和哈夫曼码。分别详细阐述了各个编码方法的编码原理、编码过程以及算术码和哈夫曼码的改进优化。并且结合数字网络的快速进展，介绍了无失真信源编码方法及哈夫曼编码的软件仿真，对其对图象压缩的性能进行了分析。文章的最后两章介绍了无失真编码在 MP3 和数字电视广播中的应用，对未来的进展趋势也进行了阐述。无失真编码技术也在信息化、网络化、高科技化的特别时代环境背景下，迎来了进展的机遇与挑战。无失真编码的应用领域越来越广，因而编码方法有待进一步的深化讨论。关键字：无失真；编码方法；图象压缩AbstractWithout distortion source coding theory, information theory research as a theoretical basis, have been subject to people's attention. Without distortion source coding is the basis of a reversible coding, refers when the source code into symbols, from the code without distortion to restore the original source symbols.
This paper without distortion of several commonly used method of coding: Shannon code, for Connaught code, and arithmetic code Huffman code. Were elaborated on the various coding method of coding theory, coding process and arithmetic code and Huffman code to improve optimization. And with the rapid development of digital networks, introduced without distortion source coding methods and Huffman coding software simulation, the image compression to the performance analysis. The article's final two chapters on the non-coding distortion in the MP3 and digital television broadcasting of the future trend of development have also carried out on.
Lossless coding technology is information technology, network-based, high-tech environment of the special context of the era, ushered...
