{"title":"基于奇异值分解的图像水印","authors":"Jie Liu, X. Niu, Wenhai Kong","doi":"10.1109/IIH-MSP.2006.115","DOIUrl":null,"url":null,"abstract":"In this paper, a new blind image watermarking algorithm is proposed based on the Singular Value Decomposition. The watermarks can be detected without the original image or any other information of the original singular values. Experiments show that the algorithm has good robustness on JPEG compression, median filtering, rescaling, and Gaussian low-pass filtering, etc.","PeriodicalId":272579,"journal":{"name":"2006 International Conference on Intelligent Information Hiding and Multimedia","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Image Watermarking Based on Singular Value Decomposition\",\"authors\":\"Jie Liu, X. Niu, Wenhai Kong\",\"doi\":\"10.1109/IIH-MSP.2006.115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new blind image watermarking algorithm is proposed based on the Singular Value Decomposition. The watermarks can be detected without the original image or any other information of the original singular values. Experiments show that the algorithm has good robustness on JPEG compression, median filtering, rescaling, and Gaussian low-pass filtering, etc.\",\"PeriodicalId\":272579,\"journal\":{\"name\":\"2006 International Conference on Intelligent Information Hiding and Multimedia\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Conference on Intelligent Information Hiding and Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIH-MSP.2006.115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Intelligent Information Hiding and Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2006.115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Watermarking Based on Singular Value Decomposition
In this paper, a new blind image watermarking algorithm is proposed based on the Singular Value Decomposition. The watermarks can be detected without the original image or any other information of the original singular values. Experiments show that the algorithm has good robustness on JPEG compression, median filtering, rescaling, and Gaussian low-pass filtering, etc.
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