{"title":"非对称裁剪自适应中值滤波器在FPGA上的面积优化实现","authors":"Lole Bhagyashri A, A. Pise, S. Surwase","doi":"10.1109/ICGCIOT.2015.7380434","DOIUrl":null,"url":null,"abstract":"To remove the (salt and pepper)impulse noise from images by using the Median Filter. This algorithmic rule is employed for low, medium and high noise densities. Additionally, to preserve edges and sharp image features. The proposed technique is implemented by developing in MATLAB and additionally implemented by using the Xilinx Spartan3 FPGA device. With this planned algorithmic rule less area is needed and thus additional power is saved.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Area optimized implementation of unsymmetric trimmed adaptive Median Filter for edge preservation on FPGA\",\"authors\":\"Lole Bhagyashri A, A. Pise, S. Surwase\",\"doi\":\"10.1109/ICGCIOT.2015.7380434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To remove the (salt and pepper)impulse noise from images by using the Median Filter. This algorithmic rule is employed for low, medium and high noise densities. Additionally, to preserve edges and sharp image features. The proposed technique is implemented by developing in MATLAB and additionally implemented by using the Xilinx Spartan3 FPGA device. With this planned algorithmic rule less area is needed and thus additional power is saved.\",\"PeriodicalId\":400178,\"journal\":{\"name\":\"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGCIOT.2015.7380434\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGCIOT.2015.7380434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Area optimized implementation of unsymmetric trimmed adaptive Median Filter for edge preservation on FPGA
To remove the (salt and pepper)impulse noise from images by using the Median Filter. This algorithmic rule is employed for low, medium and high noise densities. Additionally, to preserve edges and sharp image features. The proposed technique is implemented by developing in MATLAB and additionally implemented by using the Xilinx Spartan3 FPGA device. With this planned algorithmic rule less area is needed and thus additional power is saved.