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A Novel Fragile Medical Image Watermarking Technique for Tamper Detection and Recovery Using Variance

机译:一种新颖的脆弱医学图像水印技术,用于使用方差篡改检测和恢复

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摘要

In this paper, we propose a novel fragile block based medical image watermarking technique to produce high quality watermarked medical images, verify the integrity of ROI, accurately detect the tampered blocks inside ROI using both average and variance and recover the original ROI without loss. In the proposed technique, the medical image is segmented into three sets of pixels: ROI, Region of Non Interest (RONI) and border pixels. Later, authentication data along with ROI information is embedded inside border. ROI recovery data is embedded inside RONI. Results of experiments disclose that proposed method produced high quality watermarked medical images, identified the presence of tampers inside ROI with 100% accuracy and recovered the original ROI without any loss.
机译:在本文中,我们提出了一种新颖的基于脆弱的基于块的医学图像水印技术来生产高质量的水印医学图像,验证ROI的完整性,准确地检测ROI内的篡改块使用平均和方差,并在不损失的情况下恢复原始ROI。在所提出的技术中,医学图像被分割成三组像素:ROI,非兴趣区域(RONI)和边界像素。稍后,身份验证数据以及ROI信息嵌入在边框内。 ROI恢复数据嵌入RONI内。实验结果公开了提出的方法生产了高质量的水印医学图像,确定了ROI内的烟囱的存在,具有100%的精度,并恢复原始投资回报率而不损失。

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