基于哈希表的稀疏图像压缩算法研究

Sparse Image Compression Algorithm Based on the Hash Table

随着互联网技术的不断发展,以图像为主要载体的多媒体信息大大丰富了我们的生活。但由于图像数据量庞大,存储和传输时受到很大限制,使得图像压缩成为图像处理中的一个重要环节。图像压缩就是利用图像自身的相关性来消减图像的冗余信息,保留有用的信息。经过多年的研究,人们已经提出了多种图像压缩方法,并在许多领域取得了良好的应用效果。但这些方法主要是针对普通密度的图像,而对于稀疏图像的压缩,目前有效的压缩方法还屈指可数。对图像压缩技术的发展历程进行了回顾,给出了一种基于哈希表的对稀疏数据压缩方法,并利用VC++6.0平台,实现了基于哈希表的数据压缩系统。

With tbe continuous development of Internet technology, muhimedia information of the image as the main carri- er greatly enriches our lives. However, due to the large amount of image data storage and transmission is very restricted, image compression becomes an important part of the image processing. The image compression is the use of the image it self to subtractive redundant information of the image, we reserves because the information. After years of research, peo- ple has proposed a variety of image compression method, which achieved good results in many areas. However, these methods are mainly for ordinary density image, and for sparse image compression, the compression method is also one of the few. Firstly, this paper has a simple review of the development process of image compression technology. Tben gives a hash table based on sparse data compression method and with the use of VC＋ ＋ 6.0 platform to achieve a hash table-based data compression system.