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基于LabPQR降维的多色打印机光谱特征化模型研究（英文）.docx

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基于LabPQR降维的多色打印机光谱特征化模型研究（英文） ResearchonSpectrumCharacterizationModelofMulti-ColorPrinterBasedonLabPQRDimensionalityReduction Abstract Withthedevelopmentofprintingtechnology,colorprintinghasbecomeawidelyusedmethodintheprintingindustry.Theaccurateandefficientcharacterizationofprinterspectraisthebasisforcolorprinting.Inthispaper,weproposeaspectrumcharacterizationmodelformulti-colorprintersbasedonLabPQRdimensionalityreduction.First,weusetheLabPQRcolorspacetotransformtheprinterspectrumdata,andthenuseprincipalcomponentanalysis(PCA)toreducethedimensionalityofthedata.Finally,weusesupportvectorregression(SVR)tobuildthespectrumcharacterizationmodel.Experimentalresultsshowthattheproposedmodelcaneffectivelycharacterizethespectrumofmulti-colorprinterswithhighaccuracy. Keywords:colorprinting,spectrumcharacterization,LabPQRcolorspace,dimensionalityreduction,supportvectorregression 1.Introduction Asawidelyusedmethodintheprintingindustry,colorprintinghasattractedincreasingattentioninrecentyears.However,theaccurateandefficientcharacterizationofprinterspectraisstillachallengingtask.Thespectrumofaprinterisdeterminedbythepropertiesoftheink,printingprocess,andpaper,anditcanvarysignificantlywithdifferentprintingconditions.Therefore,aneffectivespectrumcharacterizationmodeliscrucialforachievingaccuratecolorreproductioninprinting. Thecharacterizationofprinterspectrausuallyinvolvestwosteps:spectrummeasurementandspectrummodeling.Spectrummeasurementistheprocessofacquiringthespectraldataofaprinterunderdifferentprintingconditions.Spectrummodelingistheprocessofconstructingamathematicalmodelthatcanpredictthespectrumoftheprinterunderanygivenprintingcondition.Theaccuracyofthespectrummodelingdirectlyaffectsthequalityofthecolorreproduction. Inrecentyears,variousmethodshavebeenproposedforspectrummodelingofprinters.Traditionalmethodsusuallyrelyonempiricalmodels,suchasNeugebauerorYule-Nielsenmodels.Thesemodelsarebasedonthephysicalpropertiesoftheinkandpaper,whichcanaccuratelypredictthespectralreflectanceo