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A blind and high-capacity data hiding of DICOM medical images based on fuzzification concepts
Alexandria Engineering Journal ( IF 6.2 ) Pub Date : 2021-01-08 , DOI: 10.1016/j.aej.2020.12.050
Ahmed Elhadad , A Ghareeb , Safia Abbas

Data hiding technique using steganography prospered widely due to its high un-detectability, flexibility to the size of hidden data, and robustness against compression and other image processes. Accordingly, this paper aims to use a steganographic technique based on DICOM medical images, where one medical image is used as a cover image, and the other one is used as the secret message image. This method entails three main parts: preprocessing, data embedding based on the discrete cosine transform (DCT), and an extraction process. The performances of the algorithm were evaluated using Magnetic resonance imaging (MRI) dataset, the metrics of the Peak Signal to Noise Ratio (PSNR), the Mean Square Error (MSE), the Structural Similarity Index (SSIM), the Universal Quality Index (UQI), and the correlation coefficient (R) values. The experimental results scored a high PSNR after the embedding process and high capacity of the hidden data by embedding a DICOM image into another DICOM image of the same size.



中文翻译:

基于模糊化概念的DICOM医学图像的盲目大容量数据隐藏

使用隐写术的数据隐藏技术由于其高度不可检测性,对隐藏数据的大小的灵活性以及对压缩和其他图像处理的鲁棒性而得到了广泛的应用。因此,本文旨在使用基于DICOM医学图像的隐写技术,其中一种医学图像用作封面图像,另一种医学图像用作秘密消息图像。该方法包括三个主要部分:预处理,基于离散余弦变换(DCT)的数据嵌入和提取过程。使用磁共振成像(MRI)数据集,峰信噪比(PSNR),均方误差(MSE),结构相似性指数(SSIM),通用质量指数( UQI)和相关系数(R)值。

更新日期:2021-01-08
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