An Image Fusion Method Based on Lifting Wavelet and Weighted Nonnegative Matrix Factorization

摘要：

The limitations, such as high computation complexity and low efficiency, impede the application of wavelet technology heavily. Lifting wavelet overcomes these problems, as well as keeps the multi-resolution characters of traditional wavelet method. Meanwhile, for the good performance in feature selection of weighted nonnegative matrix factorization technology, a fusion algorithm based on lifting wavelet and WNMF is presented. Experiments show that rich information is contained in our fusion results and the method is fast and suitable for infrared and visible image fusion.

关键词： tifling wavelet transformation WNMF image fusion

作者: Suwen Zhang Pei Xiong Juan Chen

作者单位: School of Automation,Wuhan University of Technology, Wuhan, Hubei, 430070, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 484-487

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）