{"title":"图像序列滤波中保留非移动区域的中值滤波器","authors":"Tim 0 Viero, Yrjo Neuvo","doi":"10.1109/ICSYSE.1991.161124","DOIUrl":null,"url":null,"abstract":"Three-dimensional weighted median filters for noise reduction in gray-level image sequences are presented. The filters are designed to retain completely nonmoving regions in image sequences. In moving regions, 3-D filter structures adapt automatically to changes in image sequence content and perform a filtering operation in moving regions. Noise attenuation capability of the filters is studied. The performance of the filters in terms of detail preservation and noise reduction is examined using real image sequences.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"507 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Non-moving regions preserving median filters for image sequence filtering\",\"authors\":\"Tim 0 Viero, Yrjo Neuvo\",\"doi\":\"10.1109/ICSYSE.1991.161124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Three-dimensional weighted median filters for noise reduction in gray-level image sequences are presented. The filters are designed to retain completely nonmoving regions in image sequences. In moving regions, 3-D filter structures adapt automatically to changes in image sequence content and perform a filtering operation in moving regions. Noise attenuation capability of the filters is studied. The performance of the filters in terms of detail preservation and noise reduction is examined using real image sequences.<<ETX>>\",\"PeriodicalId\":250037,\"journal\":{\"name\":\"IEEE 1991 International Conference on Systems Engineering\",\"volume\":\"507 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE 1991 International Conference on Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSYSE.1991.161124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1991 International Conference on Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSYSE.1991.161124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-moving regions preserving median filters for image sequence filtering
Three-dimensional weighted median filters for noise reduction in gray-level image sequences are presented. The filters are designed to retain completely nonmoving regions in image sequences. In moving regions, 3-D filter structures adapt automatically to changes in image sequence content and perform a filtering operation in moving regions. Noise attenuation capability of the filters is studied. The performance of the filters in terms of detail preservation and noise reduction is examined using real image sequences.<>
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