文章基本信息

标题：DWT-Based Multisource Image Fusion Using Spatial Frequency and Simplified Pulse Coupled Neural Network
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作者：Wang, Nianyi ; Ma, Yide ; Wang, Weilan 等
期刊名称：Journal of Multimedia
印刷版ISSN：1796-2048
出版年度：2014
卷号：9
期号：1
页码：159-165
DOI：10.4304/jmm.9.1.159-165
语种：English
出版社：Academy Publisher
摘要：In this paper, we present a new discrete wavelet transform (DWT)-based multisource image fusion algorithm using spatial frequency and a simplified pulse coupled neural network model named spiking cortical model (SCM). The multiscale decomposition and multi-resolution representation characteristics of DWT are associated with global coupling and pulse synchronization features of SCM. Firstly, source images are decomposed into low frequency sub-bands and high frequency sub-bands by DWT. Secondly, considering human visual system characteristics, two different fusion rules are used to fuse low and high frequency sub-bands respectively. Maximum selection rule (MSR) is used to fuse low frequency coefficients. As to high frequency subband coefficients, spatial frequency (SF) is calculated and then imputed into SCM to motivate neural network rather than inputting coefficients value directly, and then the time matrix of SCM is set as criteria to select coefficients of high frequency subband. The effectiveness of the proposed algorithm is achieved by the comparison with existing fusion methods
关键词：Multisource Image Fusion;Spiking Cortical Model (SCM);Discrete Wavelet Transform (DWT);Simplified PCNN;Spatial Frequency