مشخصات پژوهش

عنوان	Efficient blur estimation using multi-scale quadrature filters
نوع پژوهش	مقاله چاپ‌شده
کلیدواژه‌ها	Multi-scale edge detection, Blur estimation, Quadrature filters, Wavelet transform
چکیده	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.
پژوهشگران	سیف اله سلیمانی (نفر اول)