A Blind Restoration Approach for Defocused Barcode Images

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