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.在证明迭代函数系统不会改变图像块的熵值的结论基础上,本文给出了基于熵值的图像分形压缩基本方法及其扩展.实验结果说明该方法在压缩质量、压缩率、压缩时间等方面上都较传统方法有明显改善.

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.A theorem is proved that the IFS cannot change the image blocks' entropy values.Moreover,it gives a novel fractal compression method based on entropy and its extension.The simulation results illuminate that the new method can improve the PSNR,compress ratio and compress time cost.