{"title":"一种基于紧小框架的数字图像水印方法","authors":"Runhai Jiao, Biying Lin","doi":"10.1109/WISM.2010.86","DOIUrl":null,"url":null,"abstract":"Compared with wavelet, tight frame let has goodtime-frequency analysis ability. In this paper, we propose anew digital image watermarking algorithm based on tight frame let. In our method, the host image is firstly decomposed by frame let. Secondly, the watermark image is transformed by Arnold scrambling and then is embedded in the lowest frequency sub band of the host image. Experimental results show that the proposed method gains good performance in robustness and imperceptibility with respect to traditional image processing including noise attack, filtering and JPEG compression. Moreover, the watermark imperceptibility of our method is better than that of wavelet.","PeriodicalId":119569,"journal":{"name":"2010 International Conference on Web Information Systems and Mining","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Digital Image Watermarking Method Based on Tight Framelet\",\"authors\":\"Runhai Jiao, Biying Lin\",\"doi\":\"10.1109/WISM.2010.86\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compared with wavelet, tight frame let has goodtime-frequency analysis ability. In this paper, we propose anew digital image watermarking algorithm based on tight frame let. In our method, the host image is firstly decomposed by frame let. Secondly, the watermark image is transformed by Arnold scrambling and then is embedded in the lowest frequency sub band of the host image. Experimental results show that the proposed method gains good performance in robustness and imperceptibility with respect to traditional image processing including noise attack, filtering and JPEG compression. Moreover, the watermark imperceptibility of our method is better than that of wavelet.\",\"PeriodicalId\":119569,\"journal\":{\"name\":\"2010 International Conference on Web Information Systems and Mining\",\"volume\":\"148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Web Information Systems and Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISM.2010.86\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Web Information Systems and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISM.2010.86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Digital Image Watermarking Method Based on Tight Framelet
Compared with wavelet, tight frame let has goodtime-frequency analysis ability. In this paper, we propose anew digital image watermarking algorithm based on tight frame let. In our method, the host image is firstly decomposed by frame let. Secondly, the watermark image is transformed by Arnold scrambling and then is embedded in the lowest frequency sub band of the host image. Experimental results show that the proposed method gains good performance in robustness and imperceptibility with respect to traditional image processing including noise attack, filtering and JPEG compression. Moreover, the watermark imperceptibility of our method is better than that of wavelet.