{"title":"基于DCT-SVD和QR码的鲁棒数字水印算法","authors":"Xiaolei Zhao, Guangqin Wang, Xibin Xu","doi":"10.1145/3430199.3430244","DOIUrl":null,"url":null,"abstract":"Digital watermarking technology is an important technology for copyright protection. In practical applications, the robustness of digital watermarking technology is more demanding. In order to resist attacks and improve invisibility, a new data watermarking scheme is proposed. First, watermark local feature regions will be determined by an improved method which contains two steps: texture complexity roughly location and SIFT precisely location. Second, DCT transformation on these regions is applicated and a set of low frequency coefficients of chosen regions are selected to construct a DCT coefficient matrix. Last, SVD decomposition is performed on DCT coefficient matrix and a QR code carrying watermark information is embedded by the additive rule. The watermark detection algorithm is the reverse process of embedding. The experimental results show that the algorithm has good robustness to common attacks.","PeriodicalId":361892,"journal":{"name":"International Conference on Artificial Intelligence and Pattern Recognition","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust Digital Watermarking Algorithm Based on DCT-SVD and QR Code\",\"authors\":\"Xiaolei Zhao, Guangqin Wang, Xibin Xu\",\"doi\":\"10.1145/3430199.3430244\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital watermarking technology is an important technology for copyright protection. In practical applications, the robustness of digital watermarking technology is more demanding. In order to resist attacks and improve invisibility, a new data watermarking scheme is proposed. First, watermark local feature regions will be determined by an improved method which contains two steps: texture complexity roughly location and SIFT precisely location. Second, DCT transformation on these regions is applicated and a set of low frequency coefficients of chosen regions are selected to construct a DCT coefficient matrix. Last, SVD decomposition is performed on DCT coefficient matrix and a QR code carrying watermark information is embedded by the additive rule. The watermark detection algorithm is the reverse process of embedding. The experimental results show that the algorithm has good robustness to common attacks.\",\"PeriodicalId\":361892,\"journal\":{\"name\":\"International Conference on Artificial Intelligence and Pattern Recognition\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Artificial Intelligence and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3430199.3430244\",\"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 Artificial Intelligence and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3430199.3430244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust Digital Watermarking Algorithm Based on DCT-SVD and QR Code
Digital watermarking technology is an important technology for copyright protection. In practical applications, the robustness of digital watermarking technology is more demanding. In order to resist attacks and improve invisibility, a new data watermarking scheme is proposed. First, watermark local feature regions will be determined by an improved method which contains two steps: texture complexity roughly location and SIFT precisely location. Second, DCT transformation on these regions is applicated and a set of low frequency coefficients of chosen regions are selected to construct a DCT coefficient matrix. Last, SVD decomposition is performed on DCT coefficient matrix and a QR code carrying watermark information is embedded by the additive rule. The watermark detection algorithm is the reverse process of embedding. The experimental results show that the algorithm has good robustness to common attacks.