title: Improving Empirical Mode Decomposition Using Support Vector Machines for Multifocus Image Fusion.
abstract: Empirical mode decomposition (EMD) is good at analyzing nonstationary and nonlinear signals while support vector machines (SVMs) are widely used for classification. In this paper, a combination of EMD and SVM is proposed as an improved method for fusing multifocus images. Experimental results show that the proposed method is superior to the fusion methods based on à-trous wavelet transform (AWT) and EMD in terms of quantitative analyses by Root Mean Squared Error (RMSE) and Mutual Information (MI).
authors.affiliation: Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China.
authors.forename: Shaohui
authors.initials: S
authors.lastname: Chen
authors.affiliation: Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China. chensh@igsnrr.ac.cn.
authors.forename: Hongbo
authors.initials: H
authors.lastname: Su
authors.affiliation: Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China. zhangrh@igsnrr.ac.cn.
authors.forename: Renhua
authors.initials: R
authors.lastname: Zhang
authors.affiliation: Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China. tianj.04b@igsnrr.ac.cn.
authors.forename: Jing
authors.initials: J
authors.lastname: Tian
authors.affiliation: Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China. yanglihu@igsnrr.ac.cn.
authors.forename: Lihu
authors.initials: L
authors.lastname: Yang
keywords: Empirical Mode Decomposition; Multifocus Image Fusion; Support Vector Machines; ‘À-trous’ Wavelet Transform