Suppr超能文献

基于 RONI 的医学图像认证可见水印方法。

A RONI Based Visible Watermarking Approach for Medical Image Authentication.

机构信息

C. U. Shah University, City, Wadhwan, Gujarat, India.

Department of ECE, K. S. Institute of Technology, Bangalore, Karnataka, India.

出版信息

J Med Syst. 2017 Aug 9;41(9):143. doi: 10.1007/s10916-017-0795-3.

Abstract

Nowadays medical data in terms of image files are often exchanged between different hospitals for use in telemedicine and diagnosis. Visible watermarking being extensively used for Intellectual Property identification of such medical images, leads to serious issues if failed to identify proper regions for watermark insertion. In this paper, the Region of Non-Interest (RONI) based visible watermarking for medical image authentication is proposed. In this technique, to RONI of the cover medical image is first identified using Human Visual System (HVS) model. Later, watermark logo is visibly inserted into RONI of the cover medical image to get watermarked medical image. Finally, the watermarked medical image is compared with the original medical image for measurement of imperceptibility and authenticity of proposed scheme. The experimental results showed that this proposed scheme reduces the computational complexity and improves the PSNR when compared to many existing schemes.

摘要

如今,出于远程医疗和诊断的目的,不同医院之间经常会交换医学影像文件形式的医疗数据。由于可见水印技术被广泛应用于此类医学图像的知识产权识别,如果未能正确选择水印嵌入区域,就会引发严重的问题。在本文中,我们提出了一种基于非感兴趣区域(RONI)的可见水印技术,用于医学图像认证。在该技术中,首先使用人类视觉系统(HVS)模型识别掩蔽医学图像的 RONI。然后,将水印标志可视地插入掩蔽医学图像的 RONI 中,以获得加水印的医学图像。最后,将加水印的医学图像与原始医学图像进行比较,以测量所提出方案的不可感知性和真实性。实验结果表明,与许多现有方案相比,该方案降低了计算复杂度并提高了 PSNR。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验