1、華中科技大學(xué)碩士學(xué)位論文基于第二代小波的圖像超分辨率重建研究姓名：胡熹申請學(xué)位級別：碩士專業(yè)：信號與信息處理指導(dǎo)教師：曹漢強20090525華中科技大學(xué)碩士學(xué)位論文AbstractWithdevelopmentofImageprocessingtechnologySuperresolutionreconstructiontechniqueplayedaimptantroleinimagerestationreconstructionfi

2、eld.FItshighperfmanceimmediateprocessing.Superresolutionreconstructionisatechnologythatmakehighresolutionimageswithsinglemultiplelowresolutionimages.Superresolutionreconstructiontechniquehadbeenwidelyusedinremotesensingm

3、ilitarysurveillancebiomedicalotherfields.Thispaperstudiesimagesuperresolutionreconstructionbasedonthesecondgenerationwavelets.Paperintroducestheresearchbackgroundbasictheyresearchofthesuperresolutionreconstruction.Thenac

4、omprehensivedetailedexpositionofthesecondgenerationwaveletispresented.Subsequentsingleimagesuperresolutionreconstructionisinvestigated.Aimprovedsuperresolutionalgithmispresented.thenmultipleimagesuperresolutionreconstruc

5、tionisinvestigated.Amultipleimagessuperresolutionalgithmispresented.Astheactualprocessmusttakeintoaccounttheimpactofnoisethepaperstudieswaveletthresholdingdenoisingtheygivesawaveletthresholdingdenoisingmethodbasedonoptim

6、althreshold.Theexperimentresultsofsingleimagesuperresolutionreconstructionmultipleimagessuperresolutionreconstructionbasedonthesecondgenerationwaveletshowthatthealgithmsproposedinthispaperhasbetterperfmancethantheclassic

7、alinterpolationalgithms.Inthesameexperimentconditionstheperfmanceofmultipleimagessuperresolutionreconstructionbasedonsecondgenerationwaveletisbetterthantheperfmanceofsingleimagereconstruction.Experimentanalysisleadingtot

8、heionofathresholdthatyieldsanoptimaltradeoffbetweennoisereductionblurintroductionduetothresholdingissubsequentlypresented.Keywds:SuperresolutionDegradationmodelSecondgenerationwaveletThresholdingdenoisingOptimalthreshold