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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >A NOVEL APPROACH TO MEDICAL IMAGE WATERMARKING FOR TAMPER DETECTION AND RECOVERY OF REGION OF INTEREST USING PREDICTIVE CODING AND HASHING
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A NOVEL APPROACH TO MEDICAL IMAGE WATERMARKING FOR TAMPER DETECTION AND RECOVERY OF REGION OF INTEREST USING PREDICTIVE CODING AND HASHING

机译:预测编码和散列的篡改检测和兴趣区域恢复的医学图像水印新方法

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摘要

Telemedicine is an important application based on telecommunication and information technology to provide medical services to the remote patients with the advice of the healthcare professionals. The treatment is planned by analyzing the medical reports like CT scan, MRI scan, X-ray images etc. Hence, transmission of these images over internet needs integrity and security. Medical image watermarking has gained tremendous importance due to its catering needs in diagnosis, treatment planning, and to increase the security, confidentiality and integrity of the medical images. In medical image watermarking, the significant part of the medical image is treated as Region of Interest (ROI) that is important for diagnosis. Hence, it is very important to maintain integrity and transmit the ROI securely. In this paper, predictive coding and hashing technique is applied to ROI region in order to embed in Region of Non-Interest (RONI) to generate watermarked image. The proposed method, effectively extracts the ROI at the receiver side in spite of the tampering and noise added to it. The experimental results of the proposed method on various medical image databases proved to produce robust medical images to tampering. Compared with the existing techniques, the proposed method outperforms with the Peak Signal to Noise Ratio (PSNR) approximately 50dB.
机译:远程医疗是基于电信和信息技术的重要应用程序,可在医疗保健专业人员的建议下为远程患者提供医疗服务。通过分析医学报告(如CT扫描,MRI扫描,X射线图像等)来规划治疗方案。因此,通过互联网传输这些图像需要完整性和安全性。由于医学图像加水印在诊断,治疗计划以及增加医学图像的安全性,机密性和完整性方面的需求,因此已变得极为重要。在医学图像加水印中,医学图像的重要部分被视为对诊断很重要的感兴趣区域(ROI)。因此,保持完整性和安全地传输ROI非常重要。本文将预测编码和哈希技术应用于ROI区域,以嵌入到非兴趣区域(RONI)中以生成水印图像。所提出的方法有效地提取了接收器侧的ROI,尽管存在篡改和噪声。该方法在各种医学图像数据库上的实验结果证明可以产生鲁棒的医学图像进行篡改。与现有技术相比,该方法的性能优于峰值信噪比(PSNR)约50dB。

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