{"title":"A Blind Restoration Approach for Defocused Barcode Images","authors":"Shamik Tiwari","doi":"10.4018/IJSITA.2017070103","DOIUrl":null,"url":null,"abstract":"Useofamobilecameraforbarcodedecodingprovideshighportabilityandavailabilitybutitrequires thattherecordedbarcodeimagemustbeaccuraterepresentationofthebarcodethatisavailableon theproduct.Barcodescanningischallengingbecauseimagesmaybedegradedduetoout-of-focus bluratthetimeofimageacquisition.Therefore,imagerestorationisessentialinmakingimagesharp anduseful.Incaseofblindrestorationofsuchbarcodeimagesaccurateestimationofout-of-focus blurparameterishighlydesirable.Inthisarticle,arobustmethodhasbeenproposedforestimating theradiusofout-of-focusblur.Finitediscreteridgelettransformhasbeenusedtofindthefeatures oftheblurredimageandaradialbasisfunctionneuralnetworkisutilizedtoestimatetheradiusof out-of-focusblur.Theexperimentalresultsrevealthatproposedmethodmorerobustthantheexisting methods. KeywoRDS Blind Image Restoration, Finite Discrete Ridgelet Transform, Out-of-Focus Blur, Radial Basis Neural Network","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"36 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Strateg. Inf. Technol. Appl.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJSITA.2017070103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
条码散焦图像的盲恢复方法
Useofamobilecameraforbarcodedecodingprovideshighportabilityandavailabilitybutitrequires thattherecordedbarcodeimagemustbeaccuraterepresentationofthebarcodethatisavailableon theproduct。Barcodescanningischallengingbecauseimagesmaybedegradedduetoout-of-focus bluratthetimeofimageacquisition。Therefore,imagerestorationisessentialinmakingimagesharp anduseful。Incaseofblindrestorationofsuchbarcodeimagesaccurateestimationofout-of-focus blurparameterishighlydesirable。Inthisarticle,arobustmethodhasbeenproposedforestimating theradiusofout-of-focusblur。Finitediscreteridgelettransformhasbeenusedtofindthefeatures oftheblurredimageandaradialbasisfunctionneuralnetworkisutilizedtoestimatetheradiusof out-of-focusblur。Theexperimentalresultsrevealthatproposedmethodmorerobustthantheexisting方法。关键词:图像盲恢复,有限离散脊波变换,失焦模糊,径向基神经网络
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