{"title":"基于分形的模糊c均值聚类数字图像水印","authors":"Soheila Kiani, M. Moghaddam","doi":"10.1109/ICIME.2009.72","DOIUrl":null,"url":null,"abstract":"In this paper, a new watermarking method is presented to embed a binary watermark into an image. The proposed method uses a special type of fractal coding that its parameters are contrast scaling and the mean of range block. Also, it utilizes the fuzzy C-mean clustering to address the watermark bits. The experimental results show that the proposed method has high robustness against signal distortion such as JPEG compression, median filter and additive noise.","PeriodicalId":445284,"journal":{"name":"2009 International Conference on Information Management and Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Fractal Based Digital Image Watermarking Using Fuzzy C-Mean Clustering\",\"authors\":\"Soheila Kiani, M. Moghaddam\",\"doi\":\"10.1109/ICIME.2009.72\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new watermarking method is presented to embed a binary watermark into an image. The proposed method uses a special type of fractal coding that its parameters are contrast scaling and the mean of range block. Also, it utilizes the fuzzy C-mean clustering to address the watermark bits. The experimental results show that the proposed method has high robustness against signal distortion such as JPEG compression, median filter and additive noise.\",\"PeriodicalId\":445284,\"journal\":{\"name\":\"2009 International Conference on Information Management and Engineering\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Information Management and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIME.2009.72\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Information Management and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIME.2009.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractal Based Digital Image Watermarking Using Fuzzy C-Mean Clustering
In this paper, a new watermarking method is presented to embed a binary watermark into an image. The proposed method uses a special type of fractal coding that its parameters are contrast scaling and the mean of range block. Also, it utilizes the fuzzy C-mean clustering to address the watermark bits. The experimental results show that the proposed method has high robustness against signal distortion such as JPEG compression, median filter and additive noise.