标题:Multifocus image fusion based on multiresolution transform and particle swarm optimization
作者:Liu, Yu Shu ;Jiang, Ming Yan ;Liao, Chuan Zhu
通讯作者:Jiang, M Y
作者机构:[Liu, Yu Shu ;Jiang, Ming Yan ] School of Information Science and Engineering, Shandong University, Jinan, 250100, China;[Liao, Chuan Zhu ] Department 更多
会议名称:3rd International Conference on Materials Science and Information Technology, MSIT 2013
会议日期:14 September 2013 through 15 September 2013
来源:Advanced Materials Research
出版年:2013
卷:756-759
页码:3281-3285
DOI:10.4028/www.scientific.net/AMR.756-759.3281
关键词:Image fusion; Nonsubsampled contourlet transform; Particle swarm optimization
摘要:In order to get an image with every object in focus, an image fusion process is required to fuse the images under different focal settings. In this paper, a novel multifocus image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly the source images are decomposed into lowpass subbands coefficients and highpass subbands coefficients by the nonsubsampled contourlet transform (NSCT). Then, different fusion rules are applied for low and high frequency NSCT coefficients. Finally the fused image is reconstructed by the inverse NSCT transform. The experiment results demonstrate that the proposed method is effective and can provide better performance than the method based on the wavelet transform and the nonsubsampled contourlet transform. © (2013) Trans Tech Publications, Switzerland.
收录类别:EI;SCOPUS
Scopus被引频次:3
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886470514&doi=10.4028%2fwww.scientific.net%2fAMR.756-759.3281&partnerID=40&md5=4e28b50c6b1a291944efc4d186243691
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