【摘要】 本文主要描述的是图像处理方面的分形模拟。构造自相似图像,可以由一小组点通过仿射交换重复映射而产生,而这只需要存储一些起始点和作用到这些点上的变换规则即可。本文从分形维的特征出发,提出了基于分形维进行的迭代函数系统(IFS)匹配的分形编码算法(FIFS:Field Iterated Function System),这不但获得了很高的压缩比,同一般的分形编码相比,还取得了较快的编、解码速度和自相似匹配误差测算方法。更多还原

【Abstract】 This paper is mainly about fractal simulation in image processing. Building self-simularity image can be finished by executing iteartive affine transformation on a small group of points. From a view of fractal dimension, the paper proposes a fractal encoding algorithm ( FIFS - Fields Iterated Function System) based on the random iteration function (IFS) of fractal dimension, that is, by being compared with the general fractal encoding ,we can obtain comparable compression ratios and quick encoding decoding,and error meassure for self-similarity matching.更多还原