【作者】 李文敬； 黄容伟； 廖伟志；

【Author】 LI Wen-jing, HUANG Rong-wei, LIAO Wei-zhi (Department of Information Technology, Guangxi Teachers Education University, Nanning 530001, China)

【机构】 广西师范学院信息技术系；

【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。更多还原

【Abstract】 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.更多还原