2025/12/5
Seyfollah Soleimani

Seyfollah Soleimani

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0002-5541-8768
Education: PhD.
H-Index:
Faculty: Engineering
ScholarId:
E-mail: s-soleimani [at] araku.ac.ir
ScopusId: View
Phone:
ResearchGate:

Research

Title
Efficient blur estimation using multi-scale quadrature filters
Type
JournalPaper
Keywords
Multi-scale edge detection, Blur estimation, Quadrature filters, Wavelet transform
Year
2013
Journal Signal Processing
DOI
Researchers Seyfollah Soleimani

Abstract

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.