{"title":"一种基于平衡多小波域投票机制的图像水印方案","authors":"Shaobao Wu, Zhihua Wu, Guodong Wang, Dongsheng Shen","doi":"10.1145/3430199.3430240","DOIUrl":null,"url":null,"abstract":"A digital image watermarking algorithm based on balanced Multiwavelet transform and voting mechanism is proposed in this paper. The algorithm embeds the binary watermark image bits which have been pre-processed into low-pass sub-band coefficients in multiwavelet transform domain. According to the virtually identical quality of the energy of four low-pass subbands, the binary watermark image bits are embedded into four low-pass sub-bands coefficients four times respectively. Due to the different characteristics of each low-pass coefficients block, the largest singular value of the selected blocks is adaptively operated by different quantization step for embedding watermark information. Finally, the voting mechanism is introduced when the watermark extracting. Experimental results show that the watermarking algorithm not only has good invisibility, but also has robustness against some common image processing such as JPEG compression, noise addition, filtering, etc.","PeriodicalId":371055,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Image Watermarking Scheme Based on Voting Mechanism in Balanced Multiwavelet Domain\",\"authors\":\"Shaobao Wu, Zhihua Wu, Guodong Wang, Dongsheng Shen\",\"doi\":\"10.1145/3430199.3430240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A digital image watermarking algorithm based on balanced Multiwavelet transform and voting mechanism is proposed in this paper. The algorithm embeds the binary watermark image bits which have been pre-processed into low-pass sub-band coefficients in multiwavelet transform domain. According to the virtually identical quality of the energy of four low-pass subbands, the binary watermark image bits are embedded into four low-pass sub-bands coefficients four times respectively. Due to the different characteristics of each low-pass coefficients block, the largest singular value of the selected blocks is adaptively operated by different quantization step for embedding watermark information. Finally, the voting mechanism is introduced when the watermark extracting. Experimental results show that the watermarking algorithm not only has good invisibility, but also has robustness against some common image processing such as JPEG compression, noise addition, filtering, etc.\",\"PeriodicalId\":371055,\"journal\":{\"name\":\"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3430199.3430240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3430199.3430240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Image Watermarking Scheme Based on Voting Mechanism in Balanced Multiwavelet Domain
A digital image watermarking algorithm based on balanced Multiwavelet transform and voting mechanism is proposed in this paper. The algorithm embeds the binary watermark image bits which have been pre-processed into low-pass sub-band coefficients in multiwavelet transform domain. According to the virtually identical quality of the energy of four low-pass subbands, the binary watermark image bits are embedded into four low-pass sub-bands coefficients four times respectively. Due to the different characteristics of each low-pass coefficients block, the largest singular value of the selected blocks is adaptively operated by different quantization step for embedding watermark information. Finally, the voting mechanism is introduced when the watermark extracting. Experimental results show that the watermarking algorithm not only has good invisibility, but also has robustness against some common image processing such as JPEG compression, noise addition, filtering, etc.