{"title":"一种选择最优邻域的保边滤波器新方法","authors":"Leiku Yang, Shengyu Li, Xiaoping Lu, Zengzhang Guo","doi":"10.1109/ICIG.2007.18","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new approach to select the optimum neighborhood for edge preserving filter, which is based on the minimum distance of gray value between the current pixel and its neighborhood. Compared with the earlier algorithm searching the least mean variance of neighborhood, our approach can consider not only the neighborhood character itself but also the relationship with the current pixel This advantage has been directly shown to us from the equation deducing of the new algorithm, and the experiment has good results also.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A new approach to select the optimum neighborhood for edge preserving filter\",\"authors\":\"Leiku Yang, Shengyu Li, Xiaoping Lu, Zengzhang Guo\",\"doi\":\"10.1109/ICIG.2007.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new approach to select the optimum neighborhood for edge preserving filter, which is based on the minimum distance of gray value between the current pixel and its neighborhood. Compared with the earlier algorithm searching the least mean variance of neighborhood, our approach can consider not only the neighborhood character itself but also the relationship with the current pixel This advantage has been directly shown to us from the equation deducing of the new algorithm, and the experiment has good results also.\",\"PeriodicalId\":367106,\"journal\":{\"name\":\"Fourth International Conference on Image and Graphics (ICIG 2007)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Conference on Image and Graphics (ICIG 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIG.2007.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on Image and Graphics (ICIG 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIG.2007.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new approach to select the optimum neighborhood for edge preserving filter
In this paper, we propose a new approach to select the optimum neighborhood for edge preserving filter, which is based on the minimum distance of gray value between the current pixel and its neighborhood. Compared with the earlier algorithm searching the least mean variance of neighborhood, our approach can consider not only the neighborhood character itself but also the relationship with the current pixel This advantage has been directly shown to us from the equation deducing of the new algorithm, and the experiment has good results also.