基于Hadamard变换的卫生系统图像数字水印算法

R. Mironov, Stoyan Kushlev
{"title":"基于Hadamard变换的卫生系统图像数字水印算法","authors":"R. Mironov, Stoyan Kushlev","doi":"10.6025/jmpt/2021/12/1/18-25","DOIUrl":null,"url":null,"abstract":"In this work we have presented using a complex hadamard transform an algorithm for digital watermarking of health system images. We are able to detection the unauthorized access and attacks in the watermarking with the help of the newly introduced algorithms. The experimental results of the some attacks over the test medical images are drawn made on the base of mean-squared error and signal to noise ratio of the reconstructed images.","PeriodicalId":226712,"journal":{"name":"J. Multim. Process. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Algorithms for Digital Watermarking of the Health System Images with Hadamard Transform\",\"authors\":\"R. Mironov, Stoyan Kushlev\",\"doi\":\"10.6025/jmpt/2021/12/1/18-25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work we have presented using a complex hadamard transform an algorithm for digital watermarking of health system images. We are able to detection the unauthorized access and attacks in the watermarking with the help of the newly introduced algorithms. The experimental results of the some attacks over the test medical images are drawn made on the base of mean-squared error and signal to noise ratio of the reconstructed images.\",\"PeriodicalId\":226712,\"journal\":{\"name\":\"J. Multim. Process. Technol.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Multim. Process. Technol.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6025/jmpt/2021/12/1/18-25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Multim. Process. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6025/jmpt/2021/12/1/18-25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在这项工作中,我们提出了使用一个复杂的哈达玛变换算法的数字水印的卫生系统图像。我们可以利用新引入的算法检测水印中的未经授权访问和攻击。根据重构图像的均方误差和信噪比,给出了几种攻击对测试医学图像的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Algorithms for Digital Watermarking of the Health System Images with Hadamard Transform
In this work we have presented using a complex hadamard transform an algorithm for digital watermarking of health system images. We are able to detection the unauthorized access and attacks in the watermarking with the help of the newly introduced algorithms. The experimental results of the some attacks over the test medical images are drawn made on the base of mean-squared error and signal to noise ratio of the reconstructed images.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Adaptive Noise Image Enhancement Method Based on Genetic Algorithm in Nonsubsampled Contourlet Domain Face Perception Methodologies with Principal Component Methodology Algorithm Computer Simulations as a Complementary Educational Tool in Practical Work: Application of Monte-Carlo Simulation to Estimate the Kinetic Parameters for Chemical Reactions Colors, Contrasts and Typography in the Design of ecourses The Effects of the Multimedia, Modality, and Redundancy Principles in a Computer- Based Environment on Adult Learners
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1