简介:Anewiterativemethodforsignal,restorationhasbeenpresented.AnestimateoperatorW_κwhichisrelatedtoerroroperatorB_κintherestorationprocessisintroducedtodecreasetheestimateerrorandincreasetheconvergencerate.Theeffectofnoiseontheestimateprocesshasalsobeendescribed.Finally,themethodhasbeenappliedtothedeconvolutionofablurredsignal,andtheresultsvalidatethemethod.Acomparisonbetweenthepresentedmethodandthegeneralmethodhasalsobeengiven.
简介:Thispaperinvestigatesthemaximumentropyrestorationofblurredbinaryimage.Inconcerningwiththebinarypropertyofimage,anewmaximumentropyrestorationmethodwithbinaryconstraintisproposed.Thepropertiesofexistenceanduniquenessofsolutionarediscussed.Theproblemofmaximumofentropywithtwoconstraintsissolvedandthecorre-spondingalgorithmisgiven.Inthispaper,themaximumboundedentropyprincipleisemployedconcerningthepriorknowledgeofbinaryimage,andthemaximumboundedentropyrestora-tionmethodwithbinaryconstraintisputforward.Theproposesmethods,Wienerfilter(WF)restorationmethodandmaximumentropyrestorationmethodarecompared.Theexperimen-talresultsshowthatthemaximumentropyrestorationmethodandmaximumboundedentropyrestorationmethodwithbinaryconstraintcanimprovethequalityofrestoredimage.
简介:Inthispaper,weproposeanewbackup-VPpriorityrestorationmethodforATMsurvivalnet-works,inordertoimprovethesurvivabilityperformanceofhigherpriorityVPsincaseofmulti-failureundertheminimumamountofsparecapacityrequired.Thismethodisapartofahybridrestorationmechanism(tobepresentedlater),whichintegratesabackup-VPmethod^[2]andadistributedfloodingalgorithm^[3]intheATMlayer.ThismethodisapathrestorationbetweenVPterminalnodes,completestherestorationwithbi-directionalmessagetransmissionbyusingpre-assignedbackupVPsincaseofsinglefailure,andimprovestherestorationtimeofhigherpriorityVPsincaseofmulti-failure,butitshouldcooperatewithanotherorganicpartofthehybridrestorationmechanism-afloodingalgorithmtorestoretheremaininglowerpriorityVPs.Thismethodcanuseresourcemoreefficientlyandobtainabettercost-performancefeature.
简介:无人的天线车辆(UAV)遥远的成像被坏天气影响,并且获得的图象有低对比的劣势,复杂质地并且变模糊。在这份报纸,我们基于多重散布建议一个盲目deconvolution模型空气点传播功能(APSF)评价到恢复遥感图象。根据Narasimhan分析理论,一个新多重散布恢复模型基于改进二色的模型被建立。然后使用L0标准到估计APSF污迹核的坡度和黑暗隧道的稀少的priors,快Fourier变换被用来由过滤的维纳恢复原来的清楚的图象。由与另外的最先进的方法作比较,建议方法能正确地估计污迹核,有效地移开大气的降级现象,保存图象详细信息并且增加优秀评估索引。