基于視覺對比度分辨率補(bǔ)償?shù)牡讓訄D像挖掘與最佳質(zhì)量圖像獲取

基于視覺對比度分辨率補(bǔ)償?shù)牡讓訄D像挖掘與最佳質(zhì)量圖像獲取

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時間:2019-05-16

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1、Therearemanyrestrictions(defects)onhumanvisualfunction,suchasthespatialresolution,timeresolution,colorresolution,andcontrastresolutionlimitations.Compensating(improvement)andusingtheserestrictiombringfortllanumberofrelevantscientificandindustry.Tocompensatespatialresolutionlimitationofhumanvisio

2、n,thesubjectsandindustriesrelatedwiththegeneralizedopticalamplification(ordinaryopticalamplificationandmicro-technology,electro-opticalmicroscopy,ere.)wereproduced.Theuseofthetimeresolutionlimitationofhumanvisionproducedavarietyofvideotechnologiesandindustries.Tocompensateforthetimeresolutionlim

3、itationofhumanvision(cannotdistinguishfast-changingthings,)thereareQuick-Shot-Slow-Screeningtechnology(physicalandchemicalreactions,sports)andTime—Lapse-Fast-Screeningtechnology(organismgrowth).Humanvisualcontrastresolutionlimitation(defect)isoneofmanykinddefectsofhumanvision.Currently,monitorin

4、g,criminalinvestigation,detection,targeting,firecontrol,tracking,guidance,drivingandmedicaliIIlaghagallaredesignedonthebasesofthephotopicvisioncondition.ThenormalhumanvisualperceptionCannotperceiveimagesinformationinthedarkorlow-lightconditions.Thisisaproblemthatshouldbesolvedwhetheracademically

5、ortechnologically.So,amethodofthecompensationofhumanvisioncontrastresolutionWasproposedinthispaper.Thisisanovelprobleminbothoftheacademicandthetechnologic.ThispaperrootsintheprojectoftheNationalNaturalScienceFoundation,”Themethodsofthebestandcreationbasedonamachinevision.’’Itqualityimageassessme

6、ntreferstousecomputerimageprocessingtechnologytosolvethequestionthatthenormalhumanvisioncannotresolvetheimagetakenfromthedimlight(darkvision).Basedtheresultsofmeasuringthehumanvisualcontrastresolutionlimitation,acompensationmethodforthehumanvisualcontrastresolutionunderthescotopicvisionWaspropos

7、edtorealizeLowerLayerImageMiningunderthelowerlightlevel.Forseekingthebestcompensationdepthvalue,weanalyzeddetailedthefactorsrelevanttoaffectingthevisualqualityofanimageandextractedthreekeyimagequalityparametersinthispaper.An

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