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简述了分形及随机迭代函数系统 (IFS)的基本概念 ,然后从灰度图像自动压缩的角度研究分形的应用 ,提出了多模式自适应压缩的技术 ,设计了建立在图像子块相对矩基础上的分类搜索算法 ,把简单分形压缩改进为自适应快速压缩 ,使恢复图像质量和压缩速度均有大幅度提高 ,并在压缩比为 4倍左右时 ,其结果接近于 JPEG静止图像压缩标准。
The basic concepts of fractal and stochastic iterative function system (IFS) are briefly introduced. Then the fractal application is studied from the angle of automatic gray image compression. A multi-mode adaptive compression technique is proposed. On the classified search algorithm, the simple fractal compression is improved to adaptive fast compression, the recovered image quality and compression speed are greatly improved, and when the compression ratio is about 4 times, the result is close to JPEG still image compression standard.