图像分形压缩的原理是利用图像中的局部自相似性来构造局部迭代函数系统。

The principle of fractal image compression is that local self-similarity form a Local Iterated Function System.

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本文首先分析图像分形压缩技术中传统加速方法的性能缺陷，随后提出使用图像块的熵值来改进分形压缩性能的思想。

The paper analyses the weakness of traditional speed-up techniques for image fractal compression firstly, and proposes a novel idea by using entropy to improve image fractal compress performance.

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此外，还建立一个小型固定字典，用以加速分形图像的压缩编码。

In addition, a small fixed dictionary that is applied to speeding up fractal image compression coding is built.

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