摘要
详细阐述了Jacquin和Fisher的两种分形图像压缩方法,基于Fisher的自适应四叉树,提出了一种新型改进四叉树搜索方法.该方法根据值域块的几何特征分类来选择合适的匹配块,通过区域相关的快速搜索与四叉树方法相结合,并利用VC6.0开发工具加以验证与实现.实验结果表明,与Fisher方法相比,在同类图像压缩和重构中,新型改进四叉树方法压缩时间缩短,压缩比和PSNR得到较大的提高.
Based on Fisher adaptive quadtree, this paper puts forward a new improved quadtree searching method, which chooses best matched block according to classification in the geometric feature of range block, uses relative area quick searching combined with quadtree method, and use VC6.0 as a tool of validating and implementation. The computational results showed that compression rate, shorten compression time and PSNR is greatly improved, in the same image compression and reconfiguration, compared with Fisher quadtree method.
出处
《浙江万里学院学报》
2005年第4期16-20,共5页
Journal of Zhejiang Wanli University
关键词
图像压缩
分形编码
四叉树
迭代函数系统
image compression ffactal coding： quadtree： iterative function system
