A robust watermarking approach for medical image authentication using dual image and quorum function

IF 2.6 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI:10.1016/j.jvcir.2024.104299
Ashis Dey , Partha Chowdhuri , Pabitra Pal , Utpal Nandi
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Abstract

To safeguard the identity and copyright of a patient’s medical documents, watermarking strategies are widely used. This work provides a new dual image-based watermarking approach using the quorum function (QF) and AD interpolation technique. AD interpolation is used to create the dual images which helps to increase the embedding capacity. Moreover, the rules for using the QF are designed in such a way, that the original bits are least affected after embedding. As a result, it increases the visual quality of the stego images. A shared secret key has been employed to protect the information hidden in the medical image and to maintain the privacy and confidentiality. The experimental result using PSNR, SSIM, NCC, and EC shows that the suggested technique gives an average PSNR of 68.44 dB and SSIM is close to 0.99 after inserting 786432 watermark bits, which demonstrates the superiority of the scheme over other state-of-the-art schemes.
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使用双图像和法定人数函数的医疗图像认证鲁棒水印方法
为了保护病人医疗文件的身份和版权,水印策略被广泛使用。这项研究利用法定函数(QF)和 AD 插值技术提供了一种新的基于双图像的水印方法。AD 插值用于创建双图像,有助于提高嵌入容量。此外,设计使用 QF 的规则时考虑到了嵌入后对原始比特的影响最小。因此,它提高了偷窃图像的视觉质量。共享密钥被用来保护隐藏在医学图像中的信息,并维护隐私和保密性。使用 PSNR、SSIM、NCC 和 EC 的实验结果表明,在插入 786432 位水印后,建议的技术的平均 PSNR 为 68.44 dB,SSIM 接近 0.99,这表明该方案优于其他最先进的方案。
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来源期刊
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation 工程技术-计算机:软件工程
CiteScore
5.40
自引率
11.50%
发文量
188
审稿时长
9.9 months
期刊介绍: The Journal of Visual Communication and Image Representation publishes papers on state-of-the-art visual communication and image representation, with emphasis on novel technologies and theoretical work in this multidisciplinary area of pure and applied research. The field of visual communication and image representation is considered in its broadest sense and covers both digital and analog aspects as well as processing and communication in biological visual systems.
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