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Multisensor image fusion algorithm using nonseparable wavelet frame transform
作者姓名:Li Zhenhua  Jing Zhongliang  Wang Hong & Sun ShaoyuanInst. of Aerospace Information and Control  School of Electronic Information and Electrical Engineering  Shanghai Jiaotong Univ.  Shanghai  P. R. China
作者单位:Li Zhenhua,Jing Zhongliang,Wang Hong & Sun ShaoyuanInst. of Aerospace Information and Control,School of Electronic Information and Electrical Engineering,Shanghai Jiaotong Univ.,Shanghai 200030,P. R. China
基金项目:ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60375008),SpecializedResearchFundfotheDoctoralProgramofHigherEducation(20020248029),ChinaAviationScienceFoundation(02D57003),AerospaceSupportinTechnologyFoundation(2003-1.302),EXPOTechnologiesSpecialProjectofNationalKeyTechnologiesR&DProgramm(2004BA908B07).
摘    要:1.INTRODUCTION Withtherapidimprovementofsensortechnology,numerousmultisensordata,whichoftencontaincom plementaryandredundantinformationaboutthere gionsurveyed,areobtainedinmanyfieldssuchasre motesensing,medicalimaging,machinevisionand militaryapplications.Sensorfusionisincreasinglybe comingapromisingresearcharea.Itcanbedivided intosignal,pixel,feature,andsymbollevels.The papermainlyaddressestheproblemofpixellevelim agefusion.Throughcombiningregisteredimages generatedbydifferentimagingsyst…


Multisensor image fusion algorithm using nonseparable wavelet frame transform
Li Zhenhua,Jing Zhongliang,Wang Hong & Sun ShaoyuanInst. of Aerospace Information and Control,School of Electronic Information and Electrical Engineering,Shanghai Jiaotong Univ.,Shanghai ,P. R. China.Multisensor image fusion algorithm using nonseparable wavelet frame transform[J].Journal of Systems Engineering and Electronics,2005,16(4).
Authors:Li Zhenhua  Jing Zhongliang  Wang Hong  Sun Shaoyuan
Institution:Inst. of Aerospace Information and Control, School of Electronic Information and Electrical Engineering,Shanghai Jiaotong Univ., Shanghai 200030, P. R. China
Abstract:A multisensor image fusion algorithm is described using 2dimensional nonseparable wavelet frame (NWF) transform. The source multisensor images are first decomposed by the NWF transform. Then, the NWF transform coefficients of the source images are combined into the composite NWF transform coefficients. Inverse NWF transform is performed on the composite NWF transform coefficients in order to obtain the intermediate fused image. Finally, intensity adjustment is applied to the intermediate fused image in order to maintain the dynamic intensity range. Experiment results using real data show that the proposed algorithm works well in multisensor image fusion.
Keywords:multisensor  image fusion  image processing  nonseparable wavelet frame transform  
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