{"title":"一种基于奇异值分解的Contourlet域盲水印方案","authors":"Shao-min Zhu, Jian-ming Liu","doi":"10.1109/WKDD.2009.162","DOIUrl":null,"url":null,"abstract":"In this paper, a novel blind digital image watermarking scheme in contour let domain with singular value decomposition is proposed. In contrast to traditional methods where the watermark bits are embedded directly on the contourlet transform coefficients, the proposed scheme is based on watermark bits embedding on the singular value of the selected blocks within lowpass subband of the original gray image contourlet transform. Experimental results demonstrate that the quality of watermarked image is robust against attacks such as JPEG compression, low pass filtering, noise addition, scaling and cropping. Watermark extraction is efficient and blind in the sense only quantization strategies but not the original image is required.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"A Novel Blind Watermarking Scheme in Contourlet Domain Based on Singular Value Decomposition\",\"authors\":\"Shao-min Zhu, Jian-ming Liu\",\"doi\":\"10.1109/WKDD.2009.162\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel blind digital image watermarking scheme in contour let domain with singular value decomposition is proposed. In contrast to traditional methods where the watermark bits are embedded directly on the contourlet transform coefficients, the proposed scheme is based on watermark bits embedding on the singular value of the selected blocks within lowpass subband of the original gray image contourlet transform. Experimental results demonstrate that the quality of watermarked image is robust against attacks such as JPEG compression, low pass filtering, noise addition, scaling and cropping. Watermark extraction is efficient and blind in the sense only quantization strategies but not the original image is required.\",\"PeriodicalId\":143250,\"journal\":{\"name\":\"2009 Second International Workshop on Knowledge Discovery and Data Mining\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Second International Workshop on Knowledge Discovery and Data Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WKDD.2009.162\",\"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 Second International Workshop on Knowledge Discovery and Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WKDD.2009.162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Blind Watermarking Scheme in Contourlet Domain Based on Singular Value Decomposition
In this paper, a novel blind digital image watermarking scheme in contour let domain with singular value decomposition is proposed. In contrast to traditional methods where the watermark bits are embedded directly on the contourlet transform coefficients, the proposed scheme is based on watermark bits embedding on the singular value of the selected blocks within lowpass subband of the original gray image contourlet transform. Experimental results demonstrate that the quality of watermarked image is robust against attacks such as JPEG compression, low pass filtering, noise addition, scaling and cropping. Watermark extraction is efficient and blind in the sense only quantization strategies but not the original image is required.