摘要
介绍了基于IFS(Iterated Function System)的图像分形压缩技术的基本理论,利用原图像及其相对梯度图自相似的特点,采用自适应四叉树分割方法,提出了基于相对梯度的自适应图像分形压缩并行算法。算法复杂性分析表明该方法提高了图像分形的压缩比,计算量少,效率较高。
This paper introduced the image fractal compression technical basic theories based on Iterated function system. It makes use of self-similarity feature from an original image and its relative gradient image. The method of adaptive quad-tree partitioning is adopted. We give a parallel algorithm of relative gradient-based adaptive image fractal compression.The algorithmic complexity analyzed indicates that the method raised compression ratio of image fractal compression, compute quantity is little, and the efficiency is higher.
出处
《微电子学与计算机》
CSCD
北大核心
2007年第10期115-117,共3页
Microelectronics & Computer
基金
广西教育厅基金项目(0626120)
广西师范学院基金项目(0604A005)
关键词
迭代函数系统
相对梯度
自适应
分形压缩
并行算法
iterated function system
relative gradient
adaptive partitioning
fractal compression
parallel algorithm
