Region-based Multi-focus Image Fusion Using the Local Spatial Frequency
作者单位：Beijing Key Lab of Intelligent Telecommunication Software and Multimedia School of Computer Science Beijing University of Posts and Telecommunications
会议名称：《第25届中国控制与决策会议》
主办单位：IEEE;NE Univ;IEEE Ind Elect Chapter;IEEE Harbin Sect Control Syst Soc Chapter;Guizhou Univ;IEEE Control Syst Soc;Syst Engn Soc China;Chinese Assoc Artificial Intelligence;Chinese Assoc Automat;Tech Comm Control Theory;Chinese Assoc Aeronaut;Automat Control Soc;Chinese Assoc Syst Simulat;Simulat Methods & Modeling Soc;Intelligent Control & Management Soc
会议日期：2013年
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0811[工学-控制科学与工程]
基 金：partially supported by National Basic Research Program of China (973 Program) 2012CB821200 (2012CB821206) National Natural Science Foundation of China (No.91024001, No.61070142) Beijing Natural Science Foundation (No.4111002)
关 键 词：Multi-focus Image Fusion Local Spatial Frequency Image Segmentation
摘 要：In image fusion domain, generic pixel-based image fusion methods are sensitive to imperfections of source images, and it therefore has much influence on the quality of the fusion results. Focusing on this problem, a region-based multi-focus image fusion scheme is proposed based on the local spatial frequency （LSF） in this paper. Firstly, calculate LSF for each pixel of source images, and a segmentation of the average image is introduced to segment the source images. From the segmented image, a shared region representation is obtained to label the source images. The identification of important features in shared region representation, region spatial frequency （RSF）, is used to guide the fusion process. The experimental results show that the proposed scheme works well in multi-focus image fusion, and it outperforms comparison methods in terms of visual and objective evaluations.