An adaptive image fusion algorithm based on ICA

摘要：

Image fusion can be viewed as a process that incorporates essential information from different modality sensors into a composite image. The use of based trained Independent Component Analysis (ICA) for image fusion has been high-lighted recently. Common fusion rules can be used in the ICA fusion framework with promising results, but has the shortcoming of the same fuse rule for the whole image. In this paper, we propose an adaptive algorithm which based on the ICA fusion framework that maximizes the sparsity of the fusion image in the frame domain. The experiment results show its excellent performance in image fusion.

关键词： component Independent Component Analysis adaptive fusion algorithm Laplacian priors

作者: Hongzhi Wang Lu wei Cai he

作者单位: College of computer Science and Engineering Changchun University of Technology, Changchun, Jilin, 130012 Changchun, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 25-28

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）