{"title":"数字图像水印的独立分量分析","authors":"Shiwei Zhang, P. Rajan","doi":"10.1109/ISCAS.2002.1010199","DOIUrl":null,"url":null,"abstract":"In this paper independent component analysis (ICA) is used to test the robustness of watermarked image. By applying suitable ICA forward transformation, the distributions of the cover image and the watermark are modified. The cover image and the watermark are estimated by using a nonlinear filter and the inverse transform matrix. The preliminary experiments show that ICA attack not only influences the hidden information but also improves the image quality for reasonable embedding strengths.","PeriodicalId":203750,"journal":{"name":"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Independent component analysis of digital image watermarking\",\"authors\":\"Shiwei Zhang, P. Rajan\",\"doi\":\"10.1109/ISCAS.2002.1010199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper independent component analysis (ICA) is used to test the robustness of watermarked image. By applying suitable ICA forward transformation, the distributions of the cover image and the watermark are modified. The cover image and the watermark are estimated by using a nonlinear filter and the inverse transform matrix. The preliminary experiments show that ICA attack not only influences the hidden information but also improves the image quality for reasonable embedding strengths.\",\"PeriodicalId\":203750,\"journal\":{\"name\":\"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.2002.1010199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAS.2002.1010199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Independent component analysis of digital image watermarking
In this paper independent component analysis (ICA) is used to test the robustness of watermarked image. By applying suitable ICA forward transformation, the distributions of the cover image and the watermark are modified. The cover image and the watermark are estimated by using a nonlinear filter and the inverse transform matrix. The preliminary experiments show that ICA attack not only influences the hidden information but also improves the image quality for reasonable embedding strengths.