小波和分形理论应用于图象压缩领域是当今研究的前沿。提出了一种快速图象编码算法，它将加权小波变换与基于二叉树和双向链表搜索的分形编码相结合，在高压缩比、高信噪比前提下，使编码时间大大缩短。在ＰｅｎｔｉｕｍＰｒｏ２００个人机上对一２５６×２５６，８ｂｐｐ图象进行实验，编码时间仅需８秒，而图象失真很小。 Wavelet and fractal theory applied to the field of image compression is the frontier of today’s research. A fast image coding algorithm is proposed, which combines weighted wavelet transform with fractal coding based on binary tree and two-way linked list search, and greatly reduces the coding time under the premise of high compression ratio and high signal-to-noise ratio. Experiments on a 256x256, 8bpp image on a Pentium Pro 200 personal computer took only 8 seconds to encode and the image was minimally distorted.