{"title":"ICA在数字图像水印中的应用","authors":"M. Shen, J. Huang, P. Beadle","doi":"10.1109/ICNNSP.2003.1281156","DOIUrl":null,"url":null,"abstract":"Digital watermark processing technology has developed very quickly during the recent few years, and been widely applied to protect the copyright of digital image, audio, video and multimedia production. In this paper, a method based on the independent component analysis (ICA) technique for detection and extraction of digital image watermark is proposed. With ICA techniques, it is ensured that a better-extracted watermark can be obtained. Several results of experiments indicate the proposed method is remarkably effective.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Application of ICA to the digital image watermarking\",\"authors\":\"M. Shen, J. Huang, P. Beadle\",\"doi\":\"10.1109/ICNNSP.2003.1281156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital watermark processing technology has developed very quickly during the recent few years, and been widely applied to protect the copyright of digital image, audio, video and multimedia production. In this paper, a method based on the independent component analysis (ICA) technique for detection and extraction of digital image watermark is proposed. With ICA techniques, it is ensured that a better-extracted watermark can be obtained. Several results of experiments indicate the proposed method is remarkably effective.\",\"PeriodicalId\":336216,\"journal\":{\"name\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNNSP.2003.1281156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNNSP.2003.1281156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of ICA to the digital image watermarking
Digital watermark processing technology has developed very quickly during the recent few years, and been widely applied to protect the copyright of digital image, audio, video and multimedia production. In this paper, a method based on the independent component analysis (ICA) technique for detection and extraction of digital image watermark is proposed. With ICA techniques, it is ensured that a better-extracted watermark can be obtained. Several results of experiments indicate the proposed method is remarkably effective.