{"title":"A new way of applying spatial filters and wavelets to reduce noise in medical images","authors":"A. Pawlovsky, Makoto Hozaki","doi":"10.1109/TENCON.2016.7848157","DOIUrl":null,"url":null,"abstract":"This paper shows a new way of applying both a spatial filter and the discrete wavelet transform to reduce the noise in X-ray medical images. Our method combines a Gaussian filter and a Meyer wavelet transform. We experimentally found that it helps to improve the PSNR of an image from 0.5 dB to almost 1.0 dB when compared to other known methods.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Region 10 Conference (TENCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2016.7848157","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 shows a new way of applying both a spatial filter and the discrete wavelet transform to reduce the noise in X-ray medical images. Our method combines a Gaussian filter and a Meyer wavelet transform. We experimentally found that it helps to improve the PSNR of an image from 0.5 dB to almost 1.0 dB when compared to other known methods.