分形图像压缩方法研究的新进展

分形图像压缩是一种利用迭代函数系统理论(IFS)、基于自相似特征的有损编码方法。它以其高压缩比的潜在性能而在近年来倍受重视，但目前实现自动IFS编码仍有相当难度，该领域仍存在许多问题亟待解决。笔者对分形图像压缩的理论基础、自动分形图像压缩的实现以及分形图像序列压缩等进行了全面的综述，介绍了各种具有代表性的改进算法，阐明了各个算法的原理和特点，最后对目前研究中存在的问题及可能的对策和研究方向进行了讨论。

The New Progress in Research Approach of Fractal Image Compression

The fractal image compression is a lossy encoding method which is based on Iterated Function System (IFS) and self-similarity characteristics. In recent years, fractal image compression becomes an attractive method for its ability of high compression ratio. There are still many problems in the field need to be solved for the difficulty to realize the IFS encoding automatically. In this paper, a survey of theory and realization of fractal image compression is presented. The compression methods of fractal image sequences are summarized. The representative improving encoding methods are reviewed and their distinguishing characteristics are identified. Finally the existing problems of fractal image compression and possible solution strategies are discussed.