{"title":"基于模型的超声图像斑点噪声去除技术","authors":"M. Mohammadi, R. Mokhtari","doi":"10.1109/CSICC52343.2021.9420572","DOIUrl":null,"url":null,"abstract":"This paper proposes an equation based on a nonlinear filter for speckle noise removal by introducing a region indicator. The use of Gaussian convolution in the proposed region indicator makes the quality of the edges of the image better than other models. The proposed equation also removes noise well due to having a nonlinear filter while preserving important image details such as edges. Experimental results show that the proposed model can handle speckle noise removal quite well.","PeriodicalId":374593,"journal":{"name":"2021 26th International Computer Conference, Computer Society of Iran (CSICC)","volume":"36 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Model-Based on Filtration Technique for Speckle Noise Removal from Ultrasound Images\",\"authors\":\"M. Mohammadi, R. Mokhtari\",\"doi\":\"10.1109/CSICC52343.2021.9420572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an equation based on a nonlinear filter for speckle noise removal by introducing a region indicator. The use of Gaussian convolution in the proposed region indicator makes the quality of the edges of the image better than other models. The proposed equation also removes noise well due to having a nonlinear filter while preserving important image details such as edges. Experimental results show that the proposed model can handle speckle noise removal quite well.\",\"PeriodicalId\":374593,\"journal\":{\"name\":\"2021 26th International Computer Conference, Computer Society of Iran (CSICC)\",\"volume\":\"36 10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 26th International Computer Conference, Computer Society of Iran (CSICC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSICC52343.2021.9420572\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 26th International Computer Conference, Computer Society of Iran (CSICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSICC52343.2021.9420572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Model-Based on Filtration Technique for Speckle Noise Removal from Ultrasound Images
This paper proposes an equation based on a nonlinear filter for speckle noise removal by introducing a region indicator. The use of Gaussian convolution in the proposed region indicator makes the quality of the edges of the image better than other models. The proposed equation also removes noise well due to having a nonlinear filter while preserving important image details such as edges. Experimental results show that the proposed model can handle speckle noise removal quite well.