عنوان
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Efficient blur estimation using multi-scale quadrature filters
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نوع پژوهش
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مقاله چاپشده
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کلیدواژهها
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Multi-scale edge detection, Blur estimation, Quadrature filters, Wavelet transform
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چکیده
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Blurestimationisrequiredinimageprocessingtechniquessuchasauto-focussing, qualityassessmentforcompressedimagesandimagefusion.Inthispaperamulti-scale localblurestimationmethodisproposed.Weusetheenergyofapairofquadrature filterswithfirstandsecondderivativesofaGaussianatseveralscalesasitsconstituents. A newstrategyforanalyzingtheextremaofenergyacrossscaleisproposed.Comparing to themethodswhichusejustaGaussianfirstderivativekernel,asmallernumberof scalesneedstobeprocessed.Alsoourmethodyieldsonlyoneresponseatthecentroidof line-shapefeaturesatapositionindependentofthescale.Thisisincontrasttoother methodswhichyieldmultipleresponsesatscaledependentpositions.Weevaluatedthe methodforsyntheticandrealimagesfromtheLIVEdatabase.Dependingondetailsof theimage,theproposedmethodisseveraltotensoftimesfasterincomparisonwith usingjustaGaussianfirstderivative.Theaccuracyoftheblurestimationisfoundtobe thebestorsecondbestwhilecomparingwith16differentmethodsforGaussianblur.In addition,theperformanceisstillgoodformotionblurredimages.
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پژوهشگران
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سیف اله سلیمانی (نفر اول)
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