基于TV正则化和局部约束的遥感图像恢复

基于TV正则化和局部约束的遥感图像恢复

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时间:2019-05-15

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1、第38卷第6期光子学报Vo1.38No.62009年6月ACTAPH()T()NICASINICAJune2009RemoteSensingImageRestorationBasedonTVRegularizati0nandLocalConstraintsDINGHalyong‘。.BIANZheng—fu(1Co/legDEll'uipotlmeTltalidSpatialhUorDlaticso厂CUMT,Xuzhou,JtangSH221008,(、^ina)(2S(hoolo./RemoteSensing,NanjingLuersityo/htformali(m5(iencPandT

2、eeknologY,Nanjing210044.(、^ina)Abstract:Imagerestorationalgorithmsbasedontotalvariationtheoryandpixelsintensityloca1constrainsmethodwereintroduced.Toobtainabetterrestoredeffect,anovelhybridalgorithmwaspresentedtoestimatetheoriginalimagefromthedegradedone.Totalvariation(TV)regularizationtermwasadded

3、intotheobectfunctiontoformtheiterationformula.And,1ocalmeanandloea1variancewereusedtoconstrainttheso1ution.Innumerica1experiment,thedegradedimageswererestoredusingtheTVmethodandtheproposedmethod.Theresultsshowthatbetterperformanceoftheproposedapproachcanbeobtained.Keywords:ImageRestoration;TotalVar

4、iation;LocalConslraints;EdgePreservationCLCN:TP751DocumentCode:AArticleID:1004l213(2009)061577—4processing【915]0Introduction.ImagepixelsintensityconstraintisanotherRemotesensingimagesareoftencorruptedbyimagerestorationmethodwhichisusedtotherelativemotionbetweentheopticalsystemandregularizetheill—co

5、nditioningoftherestorationtheobjects,andatmosphereturbulence.Imagesproblem.Inreference[16],fixedintensityboundsaredegradedfromblurringandadditivenoise.wereappliedtoblindimagerestoration,whichImagerestorationorimagedeconvolutionreferstoproducesoversmoothedtextureandedgeregions.thetechniquestoobtaint

6、hehighqualityimageInreference[1719],localmeanandvariancefirefromthedegradationimages.Thechallengeinestimatedduringtheiterationprocess,whichimagerestorationproblemisthattheyareill—posedproduceseffectiveestinlationresults.InthisinthesenseofHadamard。I.paper,theTVregularizationmethodandlocalItisdifficu

7、lttoestimatetheoriginalimageconstraintsmethodareusedtoestimatetheblurredfronltheobservationimage-andsomeprioriremotesensingimage.informationaboutimagemustbeintroducedastheThispaperisorganizedasfollows.Insec

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