{"title":"一种增强的栅格of图像滤波方法","authors":"Ahmed M. Elmogy","doi":"10.1109/ICEEM52022.2021.9480382","DOIUrl":null,"url":null,"abstract":"As image noise filtering is very important to consider in many applications. Many research efforts have been seen in the literature trying to tackle its challenges. Among these research efforts are outlier detection approaches. However, there is still a need to extend these approaches in order to attain an improved performance. In this paper, an image noise filtering approach is proposed. The proposed approach use a boosted type of GRIDLOF algorithm proposed in a previous work. The efficiency of the proposed approach is assessed through simulations. The simulations results demonstrate that the developed approach overtakes other approaches in the literature.","PeriodicalId":352371,"journal":{"name":"2021 International Conference on Electronic Engineering (ICEEM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Enhanced GridLOF Approach for Image Filtering\",\"authors\":\"Ahmed M. Elmogy\",\"doi\":\"10.1109/ICEEM52022.2021.9480382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As image noise filtering is very important to consider in many applications. Many research efforts have been seen in the literature trying to tackle its challenges. Among these research efforts are outlier detection approaches. However, there is still a need to extend these approaches in order to attain an improved performance. In this paper, an image noise filtering approach is proposed. The proposed approach use a boosted type of GRIDLOF algorithm proposed in a previous work. The efficiency of the proposed approach is assessed through simulations. The simulations results demonstrate that the developed approach overtakes other approaches in the literature.\",\"PeriodicalId\":352371,\"journal\":{\"name\":\"2021 International Conference on Electronic Engineering (ICEEM)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Electronic Engineering (ICEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEM52022.2021.9480382\",\"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 International Conference on Electronic Engineering (ICEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEM52022.2021.9480382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
As image noise filtering is very important to consider in many applications. Many research efforts have been seen in the literature trying to tackle its challenges. Among these research efforts are outlier detection approaches. However, there is still a need to extend these approaches in order to attain an improved performance. In this paper, an image noise filtering approach is proposed. The proposed approach use a boosted type of GRIDLOF algorithm proposed in a previous work. The efficiency of the proposed approach is assessed through simulations. The simulations results demonstrate that the developed approach overtakes other approaches in the literature.