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A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

机译:基于快速响应代码和可逆数据隐藏技术的医学图像部分加密算法

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Medical image data, like most patient information, have a strong requirement for privacy and confidentiality. This makes transmitting medical image data, within an open network, problematic, due to the aforementioned issues, along with the dangers of data/information leakage. Possible solutions in the past have included the utilization of information-hiding and image-encryption technologies; however, these methods can cause difficulties when attempting to recover the original images. In this work, we developed an algorithm for protecting medical image key regions. Coefficient of variation is first employed to identify key regions, a.k.a. image lesion areas; then additional areas are processed as blocks and texture complexity is analyzed. Next, our novel reversible data-hiding algorithm embeds lesion area contents into a high-texture area, after which an Arnold transformation is utilized to protect the original lesion information. After this, we use image basic information ciphertext and decryption parameters to generate a quick response (QR) code used in place of original key regions. The approach presented here allows for the storage (and sending) of medical image data within open network environments, while ensuring only authorized personnel are able to recover sensitive patient information (both image and meta-data) without information loss. Peak signal to noise ratio and the Structural Similarity Index measures show that the algorithm presented in this work can encrypt and restore original images without information loss. Moreover, by adjusting the threshold and the Mean Squared Error, we can control the overall quality of the image: the higher the threshold, the better the quality and vice versa. This allows the encryptor to control the amount of degradation as, at appropriate amounts, degradation aids in the protection of the image. As shown in the experimental results, the proposed method allows for (a) the safe transmission and storage of medical image data, (b) the full recovery (no information loss) of sensitive regions within the medical image following encryption, and (c) meta-data about the patient and image to be stored within and recovered from the public image.
机译:医学图像数据,如大多数患者信息,对隐私和保密有很强的要求。这使得在开放网络内发送医学图像数据,由于上述问题,以及数据/信息泄漏的危险。过去可能的解决方案包括利用信息隐藏和图像加密技术;但是,当尝试恢复原始图像时,这些方法可能会导致困难。在这项工作中,我们开发了一种保护医学图像密钥区域的算法。首先使用变异系数来识别关键区域,A.K.A.图像病变区;然后将其他区域处理为块,分析纹理复杂性。接下来,我们的新型可逆数据隐藏算法将病变区域内容嵌入到高纹理区域中,之后利用Arnold变换来保护原始病变信息。在此之后,我们使用图像基本信息密文和解密参数来生成用于代替原始密钥区域的快速响应(QR)代码。这里呈现的方法允许在开放网络环境中存储(和发送)医学图像数据,同时确保仅授权人员能够在没有信息丢失的情况下恢复敏感的患者信息(图像和元数据)。峰值信号到噪声比和结构相似性指标措施表明,本工作中呈现的算法可以加密和恢复没有信息丢失的原始图像。此外,通过调整阈值和平均平方误差,我们可以控制图像的整体质量:阈值越高,质量越好,反之亦然。这允许加密器以适当的量,在保护图像的保护中控制劣化量。如实验结果所示,所提出的方法允许(a)医学图像数据的安全传输和存储,(b)在加密之后医学图像内的敏感区域的完全恢复(无信息丢失),(c)关于患者和图像的元数据以存储在公共图像内并从公共图像中恢复。

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