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Optical 3D watermark based digital image watermarking for telemedicine

机译:基于光学3D水印的远程医疗数字图像水印

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摘要

Region of interest (ROI) of a medical image is an area including important diagnostic information and must be stored without any distortion. This algorithm for application of watermarking technique for non-ROI of the medical image preserving ROI. The paper presents a 3D watermark based medical image watermarking scheme. In this paper, a 3D watermark object is first decomposed into 2D elemental image array (EIA) by a lenslet array, and then the 2D elemental image array data is embedded into the host image. The watermark extraction process is an inverse process of embedding. The extracted EIA through the computational integral imaging reconstruction (CIIR) technique, the 3D watermark can be reconstructed. Because the EIA is composed of a number of elemental images possesses their own perspectives of a 3D watermark object. Even though the embedded watermark data badly damaged, the 3D virtual watermark can be successfully reconstructed. Furthermore, using CAT with various rule number parameters, it is possible to get many channels for embedding. So our method can recover the weak point having only one transform plane in traditional watermarking methods. The effectiveness of the proposed watermarking scheme is demonstrated with the aid of experimental results.
机译:医学图像的关注区域(ROI)是包含重要诊断信息的区域,必须存储时没有任何失真。该算法将水印技术应用于非ROI的医学图像保存ROI中。本文提出了一种基于3D水印的医学图像水印方案。在本文中,首先通过小透镜阵列将3D水印对象分解为2D元素图像阵列(EIA),然后将2D元素图像阵列数据嵌入到宿主图像中。水印提取过程是嵌入的逆过程。通过计算积分成像重建(CIIR)技术提取的EIA,可以重建3D水印。因为EIA由许多元素图像组成,所以它们具有3D水印对象的自身视角。即使嵌入的水印数据严重受损,也可以成功重建3D虚拟水印。此外,通过将CAT与各种规则编号参数一起使用,可以获得很多用于嵌入的通道。因此,我们的方法可以恢复传统水印方法中仅具有一个变换平面的弱点。实验结果证明了所提出的水印方案的有效性。

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