{"title":"基于最小/最大曲率结合表面扩散模型的CCD噪声滤波","authors":"S. Lee, M. Kang, Kyu Tae Park","doi":"10.1109/ISCE.1997.658405","DOIUrl":null,"url":null,"abstract":"We propose to combine the min/max curvature to the surface diffusion model. The resulting technique is an automatic, extremely robust, computationally efficient, and a straightforward scheme. The flow under min/max curvature was presented by Malladi and Sethian (see Graphic. Models Image Processing, vol.58, no.2, p.127-141, 1996) in a differential equation in terms of the image intensity. If it is combined to the surface diffusion model then the new scheme automatically picks the termination criteria; continued application of the scheme produces no further change. In other words it has a convergence state. It has another important advantage over the MCD (mean curvature diffusion) and other diffusion models; removing notch noise on the side of a structure does not diffuse the shape of the structure.","PeriodicalId":393861,"journal":{"name":"ISCE '97. Proceedings of 1997 IEEE International Symposium on Consumer Electronics (Cat. No.97TH8348)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1997-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"CCD noise filtering based on surface diffusion model combined with min/max curvature\",\"authors\":\"S. Lee, M. Kang, Kyu Tae Park\",\"doi\":\"10.1109/ISCE.1997.658405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose to combine the min/max curvature to the surface diffusion model. The resulting technique is an automatic, extremely robust, computationally efficient, and a straightforward scheme. The flow under min/max curvature was presented by Malladi and Sethian (see Graphic. Models Image Processing, vol.58, no.2, p.127-141, 1996) in a differential equation in terms of the image intensity. If it is combined to the surface diffusion model then the new scheme automatically picks the termination criteria; continued application of the scheme produces no further change. In other words it has a convergence state. It has another important advantage over the MCD (mean curvature diffusion) and other diffusion models; removing notch noise on the side of a structure does not diffuse the shape of the structure.\",\"PeriodicalId\":393861,\"journal\":{\"name\":\"ISCE '97. Proceedings of 1997 IEEE International Symposium on Consumer Electronics (Cat. No.97TH8348)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISCE '97. Proceedings of 1997 IEEE International Symposium on Consumer Electronics (Cat. No.97TH8348)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.1997.658405\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISCE '97. Proceedings of 1997 IEEE International Symposium on Consumer Electronics (Cat. No.97TH8348)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.1997.658405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CCD noise filtering based on surface diffusion model combined with min/max curvature
We propose to combine the min/max curvature to the surface diffusion model. The resulting technique is an automatic, extremely robust, computationally efficient, and a straightforward scheme. The flow under min/max curvature was presented by Malladi and Sethian (see Graphic. Models Image Processing, vol.58, no.2, p.127-141, 1996) in a differential equation in terms of the image intensity. If it is combined to the surface diffusion model then the new scheme automatically picks the termination criteria; continued application of the scheme produces no further change. In other words it has a convergence state. It has another important advantage over the MCD (mean curvature diffusion) and other diffusion models; removing notch noise on the side of a structure does not diffuse the shape of the structure.