{"title":"基于拉普拉斯算子和模糊逻辑的脉冲噪声检测","authors":"Shuqun Zhang","doi":"10.1109/ICOSP.2002.1181188","DOIUrl":null,"url":null,"abstract":"An impulse noise detection method for decision-based or switching filters is presented, which uses one-dimensional Laplacian operators. Fuzzy logic has been used to further improve the performance of the proposed detector. Extensive simulations show that the proposed methods provide better performance than the existing techniques. The non-fuzzy method also has the advantage of computational simplicity.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impulse noise detection using Laplacian operators and fuzzy logic\",\"authors\":\"Shuqun Zhang\",\"doi\":\"10.1109/ICOSP.2002.1181188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An impulse noise detection method for decision-based or switching filters is presented, which uses one-dimensional Laplacian operators. Fuzzy logic has been used to further improve the performance of the proposed detector. Extensive simulations show that the proposed methods provide better performance than the existing techniques. The non-fuzzy method also has the advantage of computational simplicity.\",\"PeriodicalId\":159807,\"journal\":{\"name\":\"6th International Conference on Signal Processing, 2002.\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International Conference on Signal Processing, 2002.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.2002.1181188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Signal Processing, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2002.1181188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impulse noise detection using Laplacian operators and fuzzy logic
An impulse noise detection method for decision-based or switching filters is presented, which uses one-dimensional Laplacian operators. Fuzzy logic has been used to further improve the performance of the proposed detector. Extensive simulations show that the proposed methods provide better performance than the existing techniques. The non-fuzzy method also has the advantage of computational simplicity.
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