M. AlShaikh, L. Laouamer, A. Laouid, A. Bounceur, M. Hammoudeh
{"title":"基于Dijkstra算法的医学图像鲁棒无感知水印","authors":"M. AlShaikh, L. Laouamer, A. Laouid, A. Bounceur, M. Hammoudeh","doi":"10.1145/3341325.3341991","DOIUrl":null,"url":null,"abstract":"Watermarking is the technique to prove the security aspects of the material. One of the main aspects in any watermarking method is the imperceptibly and the fidelity of the watermarked data. The place chosen for watermark embedding affects directly in the imperceptibility and fidelity characteristics. Choosing optimal area of embedding is still worrying issue. Robust watermarking approach is helpful for proving the intellectual ownership property rights. Moreover, medical image is very sensitive for any slight modification. However, spatial domain provides less complexity, but unfortunately less robustness comparing to frequency domain. We present through this paper, a watermarking approach in the spatial domain. Our approach investigated Dijkstra algorithm in order to find the optimal path of embedding data, where the Mean aspects can play a vital role in the algorithm. Our approach provides less complexity with high robustness regarding to the relevant existing approaches operating in spatial domain. Moreover, the approach provides watermark integrity aspects and ability to detect any tamper happening for the embedded watermark and moreover the ability to recover the attacked watermark.","PeriodicalId":178126,"journal":{"name":"Proceedings of the 3rd International Conference on Future Networks and Distributed Systems","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Robust and Imperceptible Medical Image Watermarking Based on Dijkstra Algorithm\",\"authors\":\"M. AlShaikh, L. Laouamer, A. Laouid, A. Bounceur, M. Hammoudeh\",\"doi\":\"10.1145/3341325.3341991\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Watermarking is the technique to prove the security aspects of the material. One of the main aspects in any watermarking method is the imperceptibly and the fidelity of the watermarked data. The place chosen for watermark embedding affects directly in the imperceptibility and fidelity characteristics. Choosing optimal area of embedding is still worrying issue. Robust watermarking approach is helpful for proving the intellectual ownership property rights. Moreover, medical image is very sensitive for any slight modification. However, spatial domain provides less complexity, but unfortunately less robustness comparing to frequency domain. We present through this paper, a watermarking approach in the spatial domain. Our approach investigated Dijkstra algorithm in order to find the optimal path of embedding data, where the Mean aspects can play a vital role in the algorithm. Our approach provides less complexity with high robustness regarding to the relevant existing approaches operating in spatial domain. Moreover, the approach provides watermark integrity aspects and ability to detect any tamper happening for the embedded watermark and moreover the ability to recover the attacked watermark.\",\"PeriodicalId\":178126,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on Future Networks and Distributed Systems\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on Future Networks and Distributed Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3341325.3341991\",\"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 3rd International Conference on Future Networks and Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3341325.3341991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust and Imperceptible Medical Image Watermarking Based on Dijkstra Algorithm
Watermarking is the technique to prove the security aspects of the material. One of the main aspects in any watermarking method is the imperceptibly and the fidelity of the watermarked data. The place chosen for watermark embedding affects directly in the imperceptibility and fidelity characteristics. Choosing optimal area of embedding is still worrying issue. Robust watermarking approach is helpful for proving the intellectual ownership property rights. Moreover, medical image is very sensitive for any slight modification. However, spatial domain provides less complexity, but unfortunately less robustness comparing to frequency domain. We present through this paper, a watermarking approach in the spatial domain. Our approach investigated Dijkstra algorithm in order to find the optimal path of embedding data, where the Mean aspects can play a vital role in the algorithm. Our approach provides less complexity with high robustness regarding to the relevant existing approaches operating in spatial domain. Moreover, the approach provides watermark integrity aspects and ability to detect any tamper happening for the embedded watermark and moreover the ability to recover the attacked watermark.