Scalar-matrix-structured ghost imaging

(整期优先)网络出版时间:2016-06-16
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Thefeaturesofthecharacteristicmatrixusedinlinearintensitycorrelationreconstructionmethodsaredirectlyrelatedtothequalityofghostimaging.Inordertosuppressthenoisecausedbytheoff-diagonalelementsinthecharacteristicmatrix,weproposeareconstructionmethodforghostimagingcalledscalar-matrix-structuredghostimaging(SMGI).Thecharacteristicmatrixismadetoapproximateascalarmatrixbymodifyingthemeasurementmatrix.ExperimentalresultsshowthatSMGIimprovesthepeaksignal-to-noiseratiooftheobjectreconstructionsignificantlycomparedwithdifferentialghostimaging,eveninthecaseofanonzerotwo-armlongitudinaldifference,whichisapromisingresultforpracticalapplications.