【摘要】 传统的分形图像压缩算法基于图像局部之间的自相似性进行编码[5]。提出一种思路新颖的分形图像压缩算法:首先利用逃逸时间算法生成4×4的JULIA集;然后采用量化规则进行图像量化,生成4×4的矩形块;最后采用HongYan和Popescu等提出的非线性分形图像压缩算法,将4×4的矩形块转换为圆盘,然后圆盘每次旋转2度,旋转90次,将每次得到的结果转换为4×4的矩形块,作为定义域块。更多还原

【Abstract】 The traditional fractal image compression algorithm is based on self-similarity of local image.A novel algorithm is designed in this article: first,it uses escape time algorithm to create 4×4 JULIA collection.Second,it uses measurement rule to measure 4×4 JULIA collection and the rectangle block is got.Last,it uses Hong Yan and Popescu ″A Nonlinear Model for Fractal Image Coding″,4×4 rectangle block is transformed into 8×8 disk,and then each time the disk is rotated by 2 degrees until 90 times,and the result is transformed into 4×4 rectangle block,which is regarded as range-main block.更多还原