Pixel Level Multifocus Image Fusion Based on Variational Decomposition in Combination with Structure Tensor Analysis

摘要：

An image fusion Algorithm based on variational decomposition and energy of edge is presented in this paper. Firstly, each source image is decomposed into a geometrical component and a textured component by applying Rudin-Osher-Fatemi (ROF) model in combination with Chambolles projection algorithm. Secondly, the corresponding components are fused separately. For fusing the geometrical components, a weighted average method is adopted. To construct the textured component, a reconstruction algorithm of vector field based on structure tensor analysis is adopted. Finally, the sum of the fused composites is calculated to obtain the fused result. Experiments show that the proposed algorithm works well in multi focus image fusion.

关键词： Image decomposition Variational model Image fusion Structure tensor

作者: Yongping Zhang Zhongkun He Rina Su Fang Cheng Liang Ding Quanmao Mi

作者单位: School of Electronic and Information Engineering,Ningbo University of Technology,Ningbo, China College of Information Engineering Taiyuan University of Technology Taiyuan, Shanxi, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 849-852

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）