Comparing Hilbert-Huang Transform With the Wavelet Transform for Image Denoising

摘要：

This paper pays special attention to the 2-Dimension decomposition theory and method of Hilbert-Huang Transform and its application in Image Denoising. The new method not only can get better joint time-frequency resolution than other methods like STFT, Wavelet, and Wigner-ville distribution, but also is adaptive for decomposing complicated data set into a finite number of Intrinsic Mode Functions (IMFs). Based on the study of former achievements of HTT, the 2-dimension Hilbert-Huang Transform Decomposition theory and method is presented..

作者: Qiang Gai Xiaojiang Ma Fuliang Yin Meijian Yang

作者单位: Dalian University of Technology Dalian 116024, Liaoning Province, China;Dept. of Equipment System & Dalian University of Technology Dalian 116024, Liaoning Province, China Dept. of Equipment System & Automation, Dalian Naval Academy, Dalian 116018, China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）