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A new multi watermarking algorithm for medical images using DWT and hash functions

机译:利用DWT和哈希函数的医学图像多水印新算法。

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In this paper, we propose a blind digital multi- watermarking algorithm for the copyright protection and authentication of medical images. When medical images are transmitted and stored in hospitals, strict security, confidentiality and integrity are required to protect from the illegal distortion and reproduction of the medical information. Medical image watermarking requires extreme care when embedding watermark information in the medical images because the additional information must not affect the image quality as this may cause the wrong diagnosis. The proposed algorithm contains one robust watermark for the ownership of the image and two fragile watermarks for checking the authenticity. The first two watermarks are embedded in the wavelet domain, while the third watermark is embedded in the spatial domain. In the proposed algorithm, the medical image is divided into two regions, called the Region of Interest and Region of Non Interest and all the three watermarks are embedded in the Region of Non-Interest. The new medical watermarking technique offers high peak signal to noise ratio and similarity structure index measure values. The technique was successfully tested on a variety of medical images and the experimental results show that the robust watermark survived many intentional and non intentional attacks, while the fragile watermark is sensitive to any slight tampering on the medical images.
机译:在本文中,我们提出了一种用于医学图像的版权保护和认证的盲数字多重水印算法。当医学图像在医院中传输和存储时,需要严格的安全性,保密性和完整性,以防止医学信息的非法失真和复制。在医学图像中嵌入水印信息时,医学图像加水印需要格外小心,因为附加信息不得影响图像质量,因为这可能会导致错误的诊断。所提出的算法包含一个用于图像所有权的鲁棒水印和两个用于检查真实性的脆弱水印。前两个水印嵌入在小波域中,而第三个水印嵌入在空间域中。在所提出的算法中,医学图像被分为两个区域,称为关注区域和非关注区域,并且所有三个水印均嵌入在非兴趣区域中。新的医学水印技术可提供较高的峰值信噪比和相似性结构指标测量值。该技术已在各种医学图像上成功进行了测试,实验结果表明,健壮的水印在许多有意和无意的攻击下均能幸免,而脆弱的水印则对医学图像上的任何轻微篡改都很敏感。

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