{"title":"一种基于小波变换和奇异值分解的混沌水印算法","authors":"Houda Soudan, R. Ejbali, M. Zaied","doi":"10.1109/HPCS.2018.00107","DOIUrl":null,"url":null,"abstract":"Digital image watermarking is today the most sophisticated technique for protecting copyright and authenticity. Till now, several approaches were proposed to get better results in term of imperceptibility and robustness. In this paper, a non blind digital watermark scheme based on Discrete Wavelet Transform (DWT), Singular Values Decomposition (SVD) and Beta Chaotic Map (BCM) is proposed. Firstly, the digital watermark image is encrypted using BCM. Then, the cover image and the encrypted watermark are decomposed using DWT. The low frequency sub bands, issued from DWT decomposition, of each image are decomposed using SVD to get matrixes of singular values. These matrixes are summed to get watermarked images. The experimental results show that this scheme is robust against several attacks compared to other algorithms.","PeriodicalId":308138,"journal":{"name":"2018 International Conference on High Performance Computing & Simulation (HPCS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A New Beta Chaotic Watermarking Scheme based on DWT and SVD\",\"authors\":\"Houda Soudan, R. Ejbali, M. Zaied\",\"doi\":\"10.1109/HPCS.2018.00107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital image watermarking is today the most sophisticated technique for protecting copyright and authenticity. Till now, several approaches were proposed to get better results in term of imperceptibility and robustness. In this paper, a non blind digital watermark scheme based on Discrete Wavelet Transform (DWT), Singular Values Decomposition (SVD) and Beta Chaotic Map (BCM) is proposed. Firstly, the digital watermark image is encrypted using BCM. Then, the cover image and the encrypted watermark are decomposed using DWT. The low frequency sub bands, issued from DWT decomposition, of each image are decomposed using SVD to get matrixes of singular values. These matrixes are summed to get watermarked images. The experimental results show that this scheme is robust against several attacks compared to other algorithms.\",\"PeriodicalId\":308138,\"journal\":{\"name\":\"2018 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCS.2018.00107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCS.2018.00107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Beta Chaotic Watermarking Scheme based on DWT and SVD
Digital image watermarking is today the most sophisticated technique for protecting copyright and authenticity. Till now, several approaches were proposed to get better results in term of imperceptibility and robustness. In this paper, a non blind digital watermark scheme based on Discrete Wavelet Transform (DWT), Singular Values Decomposition (SVD) and Beta Chaotic Map (BCM) is proposed. Firstly, the digital watermark image is encrypted using BCM. Then, the cover image and the encrypted watermark are decomposed using DWT. The low frequency sub bands, issued from DWT decomposition, of each image are decomposed using SVD to get matrixes of singular values. These matrixes are summed to get watermarked images. The experimental results show that this scheme is robust against several attacks compared to other algorithms.