基于鄰域信息配準(zhǔn)的計算機圖像修復(fù)技術(shù)

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中圖分類號：G633.67 文獻(xiàn)標(biāo)志碼：A 文章編號：2095-2945（2025）21-0167-04

Abstract：ImagesareimportantcariersofinformationandplayacrucialroleintheinformationsocietyInordertoachieve effectiveestorationofdamagedareasinimages，thispaperproposesanewneighborhoodbasedrestorationmethod.Thismethod firstidentifiesthedamagedareaintheimageandcomparesthebrightnessdiferencebetweenthedamagedareaandthe surroundingarea.Furthermore，suitableneighboringimagesubblocksareselectedandcomparedwithneighboring imagesub blocksaround’thedamagedareatodeterminetheoptimalimagesubblock.Afterthat，thepixelsinthedamagedareaare repairedstepbysteptorestorethecompleteimagearea.Toverifytheefectivenessofthismethod，repairexperimentswere conductedonnetworkvideoimages，imagesofwomenwearingheadscarves，imagesofbabonfaces，andimagesofboardwalks. Theresultsshowedthattheproposedrepair methodcanefectivelyrepairdamagedareasinimagesandhasrobustness inrepair performance for different types of images.

Keywords： image inpainting; single frame inpainting; dynamic inpainting; robustnes;theoretical model

人類進(jìn)入信息時代以來，各種類型的信息呈現(xiàn)出爆炸式增長的態(tài)勢。（剩余4389字）