首页 | 本学科首页   官方微博 | 高级检索  
     

基于复合分类的快速分形图像压缩编码
引用本文:李杰,付萍,刘金国.基于复合分类的快速分形图像压缩编码[J].计算机辅助设计与图形学学报,2002,14(4):348-350.
作者姓名:李杰  付萍  刘金国
作者单位:1. 长春大学电气信息工程学院,长春,130022
2. 吉林大学信息科学与工程学院,长春,130025
3. 中国科学院长春光学精密机械与物理研究所空间光学研究部,长春,130022
基金项目:吉林省科委科技发展基金 ( 19980 5 5 7 0 2 )
摘    要:针对分形编码方法耗时过长的不足,提出一种分类加聚类的快速分形图像编码方法,通过提取图像块的分形维数对图像块分类,在同类内基于分形维数聚类,使匹配搜索在同类的聚类域内进行,并对不同类块采用不同算法,实验表明,该方法与经典分形方法(PIFS)比较,在信噪和解码图像质量可接受的条件下,大大提高了编码速度,且压缩比有显著提高。

关 键 词:分形维数  图像块分类  聚类  图像压缩编码  分形编码  计算机
修稿时间:2001年3月7日

Fractal Image Compression Coding Based on Classification and Clustering
Li Jie,Fu Ping,Liu Jinguo.Fractal Image Compression Coding Based on Classification and Clustering[J].Journal of Computer-Aided Design & Computer Graphics,2002,14(4):348-350.
Authors:Li Jie  Fu Ping  Liu Jinguo
Affiliation:Li Jie 1) Fu Ping 2) Liu Jinguo 3) 1)
Abstract:To reduce the computation time of fractal image coding, an approach based on classification and clustering is proposed. The image blocks are classified into different categories according to the fractal dimensions of image blocks, and the same category is then further divided into several clusters. Matching is done within the cluster, and the blocks in different categories are coded in different ways. Experiment shows that compared with the conventional fractal coding method (PIFS), the coding speed and compression ratio is increased significantly while the signal to noise ratio of it and the decoding image quality is acceptable.
Keywords:fractal dimension  image blocks classification  clustering  coding
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号