Compressive Sensing Multi-focus Image Fusion

摘要：

　　Based on the compressive sensing theory (CS),various compressive imaging (CI) systems have been developed.Meanwhile,image fusion methods that directly perform on the measurements from multiple CI sensors are also investigated in literatures.In this paper,we presented a multi-focus image fusion method in compressive sensing domain.The main contribution is to introduce a novel clarity level of the random CI measurements without prior geometric information.The CI measurements are sparsely represented with DCT bases which are also projected into the CS domain.Then the sparse coefficients responding to DCT bases are used to guide the fusion of CI measurements of CI sensors.Finally,the fused images are obtained with CS recovery algorithm based on the block compressive sensing (BCS) theory.The simulation results validate the proposed method.

关键词： image fusion compressive sensing compressive imaging focus measure

作者: Fang Cheng Bin Yang Zhiwei Huang

作者单位: College of Electric Engineering,University of South China,Hengyang,421001,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 107-116

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）