一种用于海量图像多分辨率局部重建的压缩算法

A Compression Method Used to Partly Rebuild Immense Image with Multire Solutions

论文通过对Shaprio嵌入式小波系数零树编码方法的误差进行分析,针对海量图像数据量庞大的特点,提出了一种便于海量图像局部重建的量化算法。在该算法的基础上,结合位平面编码和游程编码,得到了比较高的压缩比。实验证明这种方法简单有效,易于编程实现,在对相关项目所涉及的海量图像进行处理过程中取得了很好的效果,是一种行之有效的压缩方法。

Thought error analysis of Shaprio's embedded zerotree wavelet algorithm(EZW),the paper presents a quanti-zation method for immense image.Combined with the bit plane coding and run length coding,the proposal algorithm can achieve higher compression performance.Experiments show that the algorithm is a simple,yet efficient method.