{"title":"用于增强噪声图像的模糊平滑器","authors":"L. Pennino, M. Mancuso, R. De Luca","doi":"10.1109/FUZZY.1995.409956","DOIUrl":null,"url":null,"abstract":"A fuzzy based algorithm for the enhancement of noisy images is presented. Fuzzy techniques are used not only for the smoothing action, but also for understanding the image topology. In such a way good filtering performances are achieved and high-pass information is preserved. Simulation results are also provided to demonstrate the effectiveness of the proposed algorithm.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"194 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A fuzzy smoother for the enhancement of noisy images\",\"authors\":\"L. Pennino, M. Mancuso, R. De Luca\",\"doi\":\"10.1109/FUZZY.1995.409956\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fuzzy based algorithm for the enhancement of noisy images is presented. Fuzzy techniques are used not only for the smoothing action, but also for understanding the image topology. In such a way good filtering performances are achieved and high-pass information is preserved. Simulation results are also provided to demonstrate the effectiveness of the proposed algorithm.<<ETX>>\",\"PeriodicalId\":150477,\"journal\":{\"name\":\"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.\",\"volume\":\"194 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1995.409956\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1995.409956","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy smoother for the enhancement of noisy images
A fuzzy based algorithm for the enhancement of noisy images is presented. Fuzzy techniques are used not only for the smoothing action, but also for understanding the image topology. In such a way good filtering performances are achieved and high-pass information is preserved. Simulation results are also provided to demonstrate the effectiveness of the proposed algorithm.<>