{"title":"基于奇异值分解和神经网络的鲁棒图像水印混合方法","authors":"Mokhtar Hussein, B.Man jula","doi":"10.14445/22492615/ijptt-v8i4p401","DOIUrl":null,"url":null,"abstract":"In the digital world, a lot of digital watermarking techniques for copyright protection of multimedia data have been proposed to avoid their misuse. Implementation of these watermarking schemes requires main focus on robustness, trustworthiness and imperceptibility. In this paper, a new SVD and Neural Network based robust image watermarking method is proposed. The proposed method is supposed to offer better quality and robustness for the image under different types of attacks and under copy move forgery attacks.","PeriodicalId":231377,"journal":{"name":"International Journal of P2P Network Trends and Technology","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking\",\"authors\":\"Mokhtar Hussein, B.Man jula\",\"doi\":\"10.14445/22492615/ijptt-v8i4p401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the digital world, a lot of digital watermarking techniques for copyright protection of multimedia data have been proposed to avoid their misuse. Implementation of these watermarking schemes requires main focus on robustness, trustworthiness and imperceptibility. In this paper, a new SVD and Neural Network based robust image watermarking method is proposed. The proposed method is supposed to offer better quality and robustness for the image under different types of attacks and under copy move forgery attacks.\",\"PeriodicalId\":231377,\"journal\":{\"name\":\"International Journal of P2P Network Trends and Technology\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of P2P Network Trends and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14445/22492615/ijptt-v8i4p401\",\"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 Journal of P2P Network Trends and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14445/22492615/ijptt-v8i4p401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking
In the digital world, a lot of digital watermarking techniques for copyright protection of multimedia data have been proposed to avoid their misuse. Implementation of these watermarking schemes requires main focus on robustness, trustworthiness and imperceptibility. In this paper, a new SVD and Neural Network based robust image watermarking method is proposed. The proposed method is supposed to offer better quality and robustness for the image under different types of attacks and under copy move forgery attacks.