Image Fusion Algorithm Based on Wavelet Sparse Represented Compressed Sensing

摘要：

　　On the basis of the compressed sensing theory,this study proposed an improved wavelet sparse represented compressed sensing based image fusion algorithm.This algorithm firstly got the wavelet sparse domain linear measurement values of the original images by the dual radial sampling mode.Then a simple maximum absolute value fusion rule was adopted on the compressed sensing domain.Finally,the minimum total variation method was used to reconstruct the fused image.The experiment result shows that this algorithm has good fusion effect.

关键词： compressed sensing image fusion,wavelet minimum total variation

作者: LIU Shan-shan ZHANG Xiao-he ZHENG Ai

作者单位: Gansu University of Traditional Chinese Medicine Lanzhou,China,730000 Modem Educational Technology & Network Management Center Gansu University of Traditional Chinese Med Guangzhou University of Chinese Medicine Guangzhou,China,510006

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1215-1218

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）