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首页> 外文会议>International Conference on Current Trends in Engineering and Technology >A secure fast 2D — Discrete fractional fourier transform based medical image compression using hybrid encoding technique
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A secure fast 2D — Discrete fractional fourier transform based medical image compression using hybrid encoding technique

机译：使用混合编码技术的安全快速2D —基于离散分数阶Fourier变换的医学图像压缩

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The arrival of CT and MRI imaging in the last two decades used for analysis of various diseases in medical field. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) sequences have become essential in healthcare systems and an integral segment of a patient's medical record. Such medical image data needed a huge amount of resources for storage and transmission. Compression of medical images for efficient use of storage space and transmission bit rate has become a necessity. A quasigroup successfully creates an astronomical number of keys which is used to confuse the hackers in determining the original data. However, quasi group encryption is not capable in diffusing the information of the plain text. Hence, in this study the DICOM images are encrypted using a chained Hadamard transforms and Number Theoretic Transforms to introduce diffusion along with the quasigroup transformation. A secure Fast Two Dimensional Discrete Fractional Fourier Transform (DFRFT) and a SPIHT Algorithm with Huffman Encoder is used for compress the image and it provides a secure compression of medical images as compared to the other transform. The experimental results evaluate the performance of the proposed encryption approach based on the PSNR and MSE it shows the proposed approach gives better results.
机译：近二十年来，CT和MRI成像技术的到来被用于分析医学领域的各种疾病。磁共振成像（MRI）和计算机断层扫描（CT）序列已成为医疗保健系统中必不可少的部分，并且已成为患者病历中不可或缺的部分。这样的医学图像数据需要大量的资源用于存储和传输。为了有效利用存储空间和传输比特率而压缩医学图像已经成为必需。一个准组成功创建了天文数字的密钥，这些密钥被用来混淆黑客确定原始数据的方式。但是，准组加密不能扩散纯文本的信息。因此，在这项研究中，使用链式Hadamard变换和数字理论变换对DICOM图像进行加密，以将扩散与准群变换一起引入。安全的快速二维离散分数阶傅里叶变换（DFRFT）和带有Huffman编码器的SPIHT算法用于压缩图像，与其他变换相比，它提供了医学图像的安全压缩。实验结果基于PSNR和MSE评估了所提出的加密方法的性能，表明所提出的方法给出了更好的结果。

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