{"title":"双边滤波作为一种具有边缘保持特性的图像平滑工具","authors":"Sanun Srisuk","doi":"10.1109/IEECON.2014.6925940","DOIUrl":null,"url":null,"abstract":"In this paper, we give a review on Bilateral filtering as a tool for image smoothing with edge preserving properties. Bilateral filtering is a combination of domain and range filtering. Domain filtering measures the geometric closeness between the neighborhood center and nearby points. Therefore, domain filtering acts as a gaussian filtering. In range filtering, the similarity between two pixels are measured in which similar pixel values are weighted as a high influence while discarding dissimilar ones. We give a review on traditional bilateral filtering. We also describe a modified bilateral filtering based on fuzzy membership function, the fuzzy bilateral filtering. In fuzzy bilateral filtering, the skin is smoothed while maintaining the edges and non skin area, therefore, a more beautiful face image can be achieved. We will demonstrate some of its applications especially on skin smoothing.","PeriodicalId":306512,"journal":{"name":"2014 International Electrical Engineering Congress (iEECON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Bilateral filtering as a tool for image smoothing with edge preserving properties\",\"authors\":\"Sanun Srisuk\",\"doi\":\"10.1109/IEECON.2014.6925940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we give a review on Bilateral filtering as a tool for image smoothing with edge preserving properties. Bilateral filtering is a combination of domain and range filtering. Domain filtering measures the geometric closeness between the neighborhood center and nearby points. Therefore, domain filtering acts as a gaussian filtering. In range filtering, the similarity between two pixels are measured in which similar pixel values are weighted as a high influence while discarding dissimilar ones. We give a review on traditional bilateral filtering. We also describe a modified bilateral filtering based on fuzzy membership function, the fuzzy bilateral filtering. In fuzzy bilateral filtering, the skin is smoothed while maintaining the edges and non skin area, therefore, a more beautiful face image can be achieved. We will demonstrate some of its applications especially on skin smoothing.\",\"PeriodicalId\":306512,\"journal\":{\"name\":\"2014 International Electrical Engineering Congress (iEECON)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Electrical Engineering Congress (iEECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEECON.2014.6925940\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Electrical Engineering Congress (iEECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEECON.2014.6925940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bilateral filtering as a tool for image smoothing with edge preserving properties
In this paper, we give a review on Bilateral filtering as a tool for image smoothing with edge preserving properties. Bilateral filtering is a combination of domain and range filtering. Domain filtering measures the geometric closeness between the neighborhood center and nearby points. Therefore, domain filtering acts as a gaussian filtering. In range filtering, the similarity between two pixels are measured in which similar pixel values are weighted as a high influence while discarding dissimilar ones. We give a review on traditional bilateral filtering. We also describe a modified bilateral filtering based on fuzzy membership function, the fuzzy bilateral filtering. In fuzzy bilateral filtering, the skin is smoothed while maintaining the edges and non skin area, therefore, a more beautiful face image can be achieved. We will demonstrate some of its applications especially on skin smoothing.