{"title":"Efficiency analysis of the image impulse noise cleaning using median filters with weighted central element","authors":"N. Chervyakov, P. Lyakhov, A. Orazaev, M. Valueva","doi":"10.1109/SIBIRCON.2017.8109856","DOIUrl":null,"url":null,"abstract":"This paper shows the analysis of median filters with weighted central elements using for cleaning of images from impulse noise. The influence of the probability of obtaining undistorted pixels and distortion of the image pixel distribution function on the processing result is shown. We demonstrated that median filters with a 3×3 window allow to obtain a higher quality of image cleaning from noise with a low probability of impulse noise, and median filters with window sizes of 5×5 and 7×7 allow to obtain a higher quality of image cleaning from noise with high probability of impulse noise. The obtained result may be used in medical imaging and adaptive filtering systems for photo and video data processing.","PeriodicalId":135870,"journal":{"name":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2017.8109856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper shows the analysis of median filters with weighted central elements using for cleaning of images from impulse noise. The influence of the probability of obtaining undistorted pixels and distortion of the image pixel distribution function on the processing result is shown. We demonstrated that median filters with a 3×3 window allow to obtain a higher quality of image cleaning from noise with a low probability of impulse noise, and median filters with window sizes of 5×5 and 7×7 allow to obtain a higher quality of image cleaning from noise with high probability of impulse noise. The obtained result may be used in medical imaging and adaptive filtering systems for photo and video data processing.
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