Adaptively wavelet-based image denoising algorithm with edge preserving

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摘要 Anewwavelet-basedimagedenoisingalgorithm,whichexploitstheedgeinformationhiddeninthecorruptedimage,ispresented.Firstly,acanny-likeedgedetectoridentifiestheedgesineachsubband.Secondly,multiplyingthewaveletcoefficientsinneighboringscalesisimplementedtosuppressthenoisewhilemagnifyingtheedgeinformation,andtheresultisutilizedtoexcludethefakeedges.Theisolatededgepixelisalsoidentifiedasnoise.Unlikethethresholdingmethod,afterthatweuselocalwindowfilterinthewaveletdomaintoremovenoiseinwhichthevarianceestimationiselaboratedtoutilizetheedgeinformation.Thismethodisadaptivetolocalimagedetails,andcanachievebetterperformancethanthemethodsofstateoftheart.
机构地区 不详
出版日期 2006年02月12日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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