基于JULIA集的非线性分形图像压缩算法的研究  

Nonlinear Fractal Image Compression Coding Algorithm Based on JULIA Collection

作　　者：杨迁[1] 赵德平[2] 

机构地区：[1]沈阳建筑大学信息与控制工程学院,沈阳110168 [2]沈阳建筑大学图书馆,沈阳110168

出　　处：《计算机与数字工程》2006年第5期17-20,共4页Computer & Digital Engineering

基　　金：沈阳科技局项目(项目编号:1022038-1-04)资助

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。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 JUIkA collection. Second, it uses measurement rule to measure 4 × 4 JULJA 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.

关 键 词：JULIA集 分形 保角映射 圆盘 逃逸时间 

分 类 号：TP317[自动化与计算机技术—计算机软件与理论]