• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>NAFOSTED Conference on Information and Computer Science >A Novel Watermarking Scheme based on The Curvelet transformation method for Medical Images
【24h】

A Novel Watermarking Scheme based on The Curvelet transformation method for Medical Images

机译：一种基于Curvelet变换方法的新型水印方案

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Authentication and confidentiality of a patient's data records is an extremely important issue in digital store or telehealth services. Authentication solutions based on the watermarking method have been widely used in image processing fields due to its simplicity. However, the watermarking process introduces noise into the covered image that can affect the medical image quality. To overcome that, this paper proposes a curvelet-based authentication method to keep the medical image quality in certain watermark information. Moreover, the proposed scheme uses a machine learning method to recover the patient's record information in extracted watermark data. Comparative numerical results show a certain effect on image quality after embedding and the ability to recover embedded information when compared with the discrete wavelet transformation method.
机译：患者数据记录的身份验证和机密性是数字商店或远程医疗服务中非常重要的问题。由于其简单性，基于水印方法的认证解决方案已广泛用于图像处理领域。然而，水印过程将噪声引入覆盖的图像，这些图像可以影响医学图像质量。为了克服，本文提出了一种基于曲线的认证方法，以保持某些水印信息中的医学图像质量。此外，所提出的方案使用机器学习方法在提取的水印数据中恢复患者的记录信息。比较数值结果显示嵌入后对图像质量的一定影响以及与离散小波变换方法相比恢复嵌入信息的能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号