Performance Assessment of Edge Preserving Filters

Int. J. Inf. Syst. Model. Des. Pub Date : 2017-04-01 DOI:10.4018/IJISMD.2017040101

K. R. Reddy, Madhava Rao Ch, Nagi Reddy Kalikiri

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引用次数: 1

Abstract

Denoisingisoneoftheimportantaspectsinimageprocessingapplications.Denoisingistheprocess ofeliminatingthenoisefromthenoisyimage.Inmostcases,noiseaccumulatesattheedges.So thatpreventionofnoiseatedgesisoneofthemostprominentproblem.Therearenumerousedge preservingapproachesavailabletoreducethenoiseatedgesinthatGaussianfilter,bilateralfilter andnon-localmeansfilteringarethepopularapproachesbutintheseapproachesdenoisedimage sufferfromblurring.Toovercometheseproblems,inthisarticleaGaussian/bilateralfiltering(G/ BF)withawaveletthresholdingapproachisproposedforbetterimagedenoising.Theperformance oftheproposedworkiscomparedwithsomeedge-preservingfilteralgorithmssuchasabilateral filterandtheNon-LocalMeansFilter,intermsthatobjectivelyassessquality.Fromthesimulation results,itisfoundthattheperformanceofproposedmethodissuperiortothebilateralfilterandthe Non-LocalMeansFilter. KEywoRDS Bilateral Filter, DWT, Gaussian Filter, Image Denoising, Non-Local Means Filter and Thresholding, Quality Assessments

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边缘保持滤波器的性能评价

Denoisingisoneoftheimportantaspectsinimageprocessingapplications。Denoisingistheprocess ofeliminatingthenoisefromthenoisyimage.Inmostcases，noiseaccumulatesattheedges。So thatpreventionofnoiseatedgesisoneofthemostprominentproblem。Therearenumerousedge preservingapproachesavailabletoreducethenoiseatedgesinthatGaussianfilter，bilateralfilter andnon-localmeansfilteringarethepopularapproachesbutintheseapproachesdenoisedimage sufferfromblurring。Toovercometheseproblems，inthisarticleaGaussian/bilateralfiltering(G/ BF)withawaveletthresholdingapproachisproposedforbetterimagedenoising。Theperformance oftheproposedworkiscomparedwithsomeedge-preservingfilteralgorithmssuchasabilateral filterandtheNon-LocalMeansFilter，intermsthatobjectivelyassessquality。Fromthesimulation results，itisfoundthattheperformanceofproposedmethodissuperiortothebilateralfilterandthe Non-LocalMeansFilter。关键词:双边滤波，小波变换，高斯滤波，图像去噪，非局部均值滤波和阈值化，质量评估

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Int. J. Inf. Syst. Model. Des.

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