摘要
根据图像系统所固有的自相似性以及经验模式分解(EMD)算法的完备性和稳定性,首先给出了一种完整、快速和高效的EMD图像分解算法.该算法主要改进了EMD图像分解的曲面插值方法以及提取固有模式图像的结束条件.解决了一般EMD图像分解算法存在的图像分解算法速度慢、三角剖分导致漏点现象和图像分解算法的结束条件不明确的问题.然后给出了一种基于改进EMD图像分解的编码压缩算法,并利用Matlab进行了仿真实验,结果表明所提算法编码压缩性能较好.
According to image system intrinsic quality of self-comparability and the empirical mode decomposition （EMD） algorithm＇s completeness and stability, an improved algorithm for EMD image decomposition was presented, which was integrative, fast and effective. It could improve EMI） decomposition＇s bidimensional interpolation method and end conditions of getting intrinsic mode images, and solve the questions of general algorithms for EMD image decomposition, such as low speed in decomposition, failure to contain whole points, and the uncertainty of end requirements. Then an algorithm for image compression based on the improved EMD was presented. The simulation experiments were made by Matlab and the effectiveness of the improved algorithm was tested and verified.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2008年第4期295-298,共4页
Journal of Infrared and Millimeter Waves
基金
国家高技术研究发展计划863(2002AA401001-4B)
国家自然科学基金(60475024)
航天技术创新基金(20060118)资助项目
关键词
经验模式分解
固有模式函数
图像分解
图像压缩
算法
empirical mode decomposition（EMD）
intrinsic mode function（IMF）
image decomposition
image compression
algorithm
