{"title":"Automatic periodic noise removal in microscopy images","authors":"M. G. Ionita, H. Coanda","doi":"10.1109/ISSCS.2017.8034894","DOIUrl":null,"url":null,"abstract":"This paper deals with the removal of periodic noise patterns in microscopy images. The proposed method analyzes, determines and corrects the magnitude spectrum components. The denoising in frequency domain is known to be a better solution for preserving the fine details. Experimental results are provided.","PeriodicalId":338255,"journal":{"name":"2017 International Symposium on Signals, Circuits and Systems (ISSCS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Symposium on Signals, Circuits and Systems (ISSCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2017.8034894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper deals with the removal of periodic noise patterns in microscopy images. The proposed method analyzes, determines and corrects the magnitude spectrum components. The denoising in frequency domain is known to be a better solution for preserving the fine details. Experimental results are provided.