A multifocus image fusion in nonsubsampled contourlet domain with variational fusion strategy

摘要：

Based on the variational idea, we propose a new fusion strategy for nonsubsampled contourlet transform (NSCT). For NSCT bandpass subband coefficients of input images, we take the main component of coefficients as the target and then build an extremum problem for energy functional to find the closest to the target one as the fused coefficient. We apply the gradient descent flow to minimize the functional and give the numerical scheme. The experimental results show that the proposed strategy outperforms state-of-the-art image fusion strategies for NSCT in terms of both visual quality and objective evaluation criteria.

关键词： nonsubsampled contourlet transform (NSCT) image fusion fusion strategy variational multiscale geometrical analysis (MGA)

作者: Ning Ma Limin Luo Zeming Zhou Miaoyuan Liang

作者单位: Institute of Meteorology, PLA University of Science & Technology, Nanjing, P. R. China 211101 Labora Laboratory of Image Science & Technology, Southeast University, Nanjing, P. R. China 210096 Institute of Meteorology, PLA University of Science & Technology, Nanjing, P. R. China 211101

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-8

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）