几种常用图像压缩编码方法的研究及C#实现

图像压缩是数字图像处理的一项重要技术。本文研究基于统计特性的三种熵编码图像压缩编码方法—香农编码、香农-弗诺编码和哈夫曼编码。并以C#为工具，对三种编码方法进行实验及对比，并通过实验结果分析各算法的特点。实验表明，哈夫曼编码最节省存储空间，单位码长表达的信息量最为丰富；香农-弗诺编码所占的存储空间稍大于哈夫曼编码，单位码长表达的信息量比哈夫曼编码稍少一些；而香农编码所占存储空间最大，单位码长表达的信息量最少。

Research and C# Implementation on Several Commonly Used Image Compression Coding Methods

Image compression is an important technology for digital image processing. This paper studies the three kinds of entropy code image compression methods which are based on their statistical characters, including Shannon, Shannon-Fannonn and Huffman. It conducts experimental and comparison for the three encoding methods by C# and analyzes the characteristics of each method by experimental results. Experiments show that Huffman coding saves the most storage space and unit code length expresses the most abundant amount of information; Shannon-Fannon coding occupies more storage space and unit code length expresses less abundant amount of information than Huffman; Shannon coding occupies the most storage space and unit code length expresses the list abundant amount of information.