{"title":"一种基于MA和DWT的水印算法","authors":"Xia Sun, Ziqiang Wang, Dexian Zhang","doi":"10.1109/ISECS.2008.31","DOIUrl":null,"url":null,"abstract":"To efficiently protect the ownership of multimedia data with watermarking technology, a novel image watermarking algorithm based on discrete wavelet transform (DWT) and memetic algorithm (MA) is proposed in this paper. The watermark is embedded to subband coefficients of subimage which is extracted from the original image with DWT, and watermark extraction is efficiently performed via MA. Experimental results show that the proposed watermarking algorithm results in almost invisible difference between the watermarked image and the original image, and is robust to common image processing operations and JPEG lossy compression.","PeriodicalId":144075,"journal":{"name":"2008 International Symposium on Electronic Commerce and Security","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Watermarking Algorithm Based on MA and DWT\",\"authors\":\"Xia Sun, Ziqiang Wang, Dexian Zhang\",\"doi\":\"10.1109/ISECS.2008.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To efficiently protect the ownership of multimedia data with watermarking technology, a novel image watermarking algorithm based on discrete wavelet transform (DWT) and memetic algorithm (MA) is proposed in this paper. The watermark is embedded to subband coefficients of subimage which is extracted from the original image with DWT, and watermark extraction is efficiently performed via MA. Experimental results show that the proposed watermarking algorithm results in almost invisible difference between the watermarked image and the original image, and is robust to common image processing operations and JPEG lossy compression.\",\"PeriodicalId\":144075,\"journal\":{\"name\":\"2008 International Symposium on Electronic Commerce and Security\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Electronic Commerce and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISECS.2008.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Electronic Commerce and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISECS.2008.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To efficiently protect the ownership of multimedia data with watermarking technology, a novel image watermarking algorithm based on discrete wavelet transform (DWT) and memetic algorithm (MA) is proposed in this paper. The watermark is embedded to subband coefficients of subimage which is extracted from the original image with DWT, and watermark extraction is efficiently performed via MA. Experimental results show that the proposed watermarking algorithm results in almost invisible difference between the watermarked image and the original image, and is robust to common image processing operations and JPEG lossy compression.