考虑高低频特征的视觉离焦图像暗边缘局部复原算法

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中图分类号：TN911.73-34；TP391 文献标识码：A 文章编号：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

在图像实际拍摄过程中，由于拍摄设备的质量问题、调焦不准、手部抖动等各种原因，图像往往会产生视觉离焦模糊现象，特别是图像的边缘部分会因亮度较低产生暗边缘，导致图像细节丢失，这会严重影响图像的后续应用3。（剩余5097字）