基于自適應采樣的全息圖像壓縮感知降噪方法
打開文本圖片集
Holographic image compressive sensing noise reduction based on adaptive sampling
LI Bingliang'，CHENBo1，QINMengwei1，YANG Jing2 （1.CollegeofElectricalEngineering，NorthChina UniversityofScienceand Technology，TangshanO63210，China; 2.College ofContinuing Education，NorthChina UniversityofScience and Technology，Tangshan O63210，China）
Abstract：During theresearch of digital hologramsamplingandreconstruction，thenoiseofholographicimage willffect therecostructionresult.Theexistingcompresiveholographyfailstotake intoaccountthesparsityandtexture feature distributionofdigitalholographicimages，andthesamplingrateisalocatedunreasonably.Inviewoftheabove，adigital hologramnoisereductionmethodbasedonadaptiveblockcompressivesensingisproposed.Inthemethod，theintensityoflight fieldisusedasthemeasureofimagetexturedetails.Onthebasisofthepre-samplinginformation，theholographicimageis dividedintodiferentinformation blocksandtheadaptivesamplingrateiscalculated.Theadaptiveunder-sampledreconstruction ofthenoisyholographicimageisrealizedbycompresivesensing.Theresultsofthenumericalsimulationexperimentsshowthat theproposedmethodcanimprovetheSNR（signal-to-noiseratio）andsimilarityofholographicimagesefectivelyinthecasethat thesamplingrateexceedsO.4whenitisappiedtodiferentreconstructionalgorithms.Itcanbeseenthattheproposedmethod canmakefulluseofthesparsityandtexturefeaturesofthedigitalholographicimages，andallcatethesamplingrateofdierent noisesubblocksreasonablyincomparisonwith the traditionalreconstructionalgorithms.Therefore，theproposedmethodcan efectively improve the quality of the object image reconstructed by optical reconstruction.
Keywors：digital holography;blockcompresivesnsing;noisereduction;edgeinformation;image reconstruction;adaptive sampling
0 引言
數字全息術采用光電傳感器記錄全息圖，將復雜的光學重現方式轉換為數字計算問題。（剩余7936字）