散射成像和紅外上轉(zhuǎn)換成像理論基礎(chǔ)透過散射介質(zhì)成像一直是天文成像、生物成像和安全監(jiān)視等廣泛領(lǐng)域的研究熱點。這一問題的挑戰(zhàn)在于，光在通過在波長尺度上具有不均勻的結(jié)構(gòu)的散射介質(zhì)后會發(fā)生散射，使入射光波前發(fā)生畸變，在觀測面上只能接收到帶有散斑的圖像ADDINCSL_CITATION{"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1117/3.2548484","abstract":"Thisbookprovidesacomprehensivediscussionofthestatisticalpropertiesofspeckle,aswellasdetailedcoverageofitsroleinapplications.Someoftheapplicationsdiscussedincludespeckleinastronomy,speckleintheeye,speckleinprojectiondisplays,speckleincoherencetomography,speckleinlithography,speckleinwaveguides(modalnoise),speckleinopticalradardetection,andspeckleinmetrology.Thisbookisaimedatgraduatestudentsandprofessionalsworkinginawidevarietyoffields.","author":[{"dropping-particle":"","family":"Goodman","given":"JosephW.","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"SpecklePhenomenainOptics:TheoryandApplications,SecondEdition","id":"ITEM-1","issued":{"date-parts":[["2020"]]},"title":"SpecklePhenomenainOptics:TheoryandApplications,SecondEdition","type":"book"},"uris":["/documents/?uuid=d7d473a8-e7d2-3ed5-95cc-2bd98910b751"]}],"mendeley":{"formattedCitation":"^[41]","plainTextFormattedCitation":"[41]","previouslyFormattedCitation":"^[41]"},"properties":{"noteIndex":0},"schema":"/citation-style-language/schema/raw/master/csl-citation.json"}[41]。在計算機視覺中，通常通過圖像去噪的方式減少散斑。GuoADDINCSL_CITATION{"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1109/ICIP.1994.413278","ISSN":"15224880","abstract":"Thepaperintroducesanovelspecklereductionmethodbasedonthresholdingthewaveletcoefficientsofthelogarithmicallytransformedimage.Themethodiscomputationalefficientandcansignificantlyreducethespecklewhilepreservingtheresolutionoftheoriginalimage.Bothsoftandhardthresholdingschemesarestudiedandtheresultsarecompared.WhenfullypolarimetricSARimagesareavailable,theauthorsproposeseveralapproachestocombinethedatafromdifferentpolarizationstoachieveevenbetterperformance.Waveletprocessedimageryisshowntoprovidebetterdetectionperformanceforthesynthetic-apertureradar(SAR)basedautomatictargetdetection/recognition(ATD/R)problem.","author":[{"dropping-particle":"","family":"Guo","given":"H.","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Odegard","given":"J.E.","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Lang","given":"M.","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Gopinath","given":"R.A.","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Selesnick","given":"I.W.","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Burrus","given":"C.S.","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Proceedings-InternationalConferenceonImageProcessing,ICIP","id":"ITEM-1","issued":{"date-parts":[["1994"]]},"page":"75-79","title":"WaveletbasedspecklereductionwithapplicationtoSARbasedATD/R","type":"paper-conference","volume":"1"},"uris":["/documents/?uuid=031d60aa-c9da-3025-b22a-6c098dc0a9f4"]}],"mendeley":{"formattedCitation":"^[42]","plainTextFormattedCitation":"[42]","previouslyFormattedCitation":"^[42]"},"properties":{"noteIndex":0},"schema":"/citation-style-language/schema/raw/master/csl-citation.json"}[42]提出了一種基于對圖像對數(shù)變換的小波系數(shù)進行閾值化的去噪方法，還有很多基于自適應(yīng)濾波的ADDINCSL_CITATION{"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1109/TPAMI.1982.4767223","ISSN":"01628828","abstract":"Standardimageprocessingtechniqueswhichareusedtoenhancenoncoherentopticallyproducedimagesarenotapplicabletoradarimagesduetothecoherentnatureoftheradarimagingprocess.Amodelfortheradarimagingprocessisderivedinthispaperandamethodforsmoothingnoisyradarimagesisalsopresented.Theimagingmodelshowsthattheradarimageiscorruptedbymultiplicativenoise.Themodelleadstothefunctionalformofanoptimum(minimumMSE)filterforsmoothingradarimages.ByusinglocallyestimatedparametervaluesthefilterismadeadaptivesothatitprovidesminimumMSEestimatesinsidehomogeneousareasofanimagewhilepreservingtheedgestructure.Itisshownthatthefiltercanbeeasilyimplementedinthespatialdomainandiscomputationallyefficient.Theperformanceoftheadaptivefilteriscompared(qualitativelyandquantitatively)withseveralstandardfiltersusingrealandsimulatedradarimages.Copyright?1982byTheInstituteofElectricalandElectronicsEngineers,Inc.","author":[{"dropping-particle":"","family":"Frost","given":"VictorS.","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Stiles","given":"JosephineAbbott","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Shanmugan","given":"K.S.","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Holtzman","given":"JulianC.","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"IEEETransactionsonPatternAnalysisandMachineIn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