考慮高低頻特征的視覺(jué)離焦圖像暗邊緣局部復(fù)原算法

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中圖分類號(hào)：TN911.73-34；TP391 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：1004-373X（2025）16-0123-05

Visual defocusing image dark edge local restoration algorithm for considering highand lowfrequencyfeatures

LIU Xiao

（XinyangNormal University，Xinyang464Ooo， China）

Abstract：Thedarkedgesofvisualdefocusingimagesareblurred，resulting inthelossofdetailinformation，whichis manifestedinthereductionofhighandlowfrequencycomponentsintheimage tovaryingdegrees.Therefore，avisual defocusingimagesdarkedgeslocalrestorationalgorithmconsideringhighandlowfrequencyfeaturesisstudiedtorestorethe edgedetailsofsuchimages.Adefocusingimagemodelisconstructed，andtheehancementprocessingofthevisualdefocusing imageinthemodelisconductedbymeansof thepalalgorithm，soastoobtaintheenhancedgraydefocusingimage.Thenonsubsampledcontour wave transform （NSCT）algorithm isusedtodecomposetheenhanceddefocusing image with multi-scaleand multi-direction，soastoextractthehighandlowfrequencyfeaturesinformationsuchascompleteedgeandstructureoftheimage. ByimplementingNSCTinversetransformationonsuchhighandlowfrequencyfeatureinformation，thehighandlowfrequency edgeimagesareobtained，andthelowfrequencyedgeimagesarecompensatedintothehigh frequencyedgeimage，soastobtain thefinalreconstructededgerestorationimage.Theresultsshowthatthealgorithmcanachievelocalrestorationofthedarkedge ofdifferentscaledefocusingimages.Afterrestoration，theedgedetailsareclearandcomplete，thestructuralinformationis recovered well，the brightnessandcontrast are improved obviously，andtheoverall restoration performance is stable.

Keywords：highandlow frequency feature;visual defocusing image;dark edge;local restoration;imageenhancement; grayscale image;NSCTalgorithm

0 引言

在圖像實(shí)際拍攝過(guò)程中，由于拍攝設(shè)備的質(zhì)量問(wèn)題、調(diào)焦不準(zhǔn)、手部抖動(dòng)等各種原因，圖像往往會(huì)產(chǎn)生視覺(jué)離焦模糊現(xiàn)象，特別是圖像的邊緣部分會(huì)因亮度較低產(chǎn)生暗邊緣，導(dǎo)致圖像細(xì)節(jié)丟失，這會(huì)嚴(yán)重影響圖像的后續(xù)應(yīng)用3。（剩余5097字）