A secure fast 2D — Discrete fractional fourier transform based medical image compression using hybrid encoding technique

P. Kumari, K. Thanushkodi
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引用次数: 16

Abstract

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.
基于混合编码技术的二维离散分数傅里叶变换医学图像安全快速压缩
近二十年来,CT和MRI成像技术的出现用于医学领域各种疾病的分析。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和患者医疗记录的重要组成部分。这样的医学图像数据需要大量的存储和传输资源。压缩医学图像对于有效利用存储空间和传输比特率已成为一种必要。一个准群成功地创建了一个天文数字的密钥,用来迷惑黑客确定原始数据。但是,准组加密不能使明文的信息扩散。因此,本研究采用链式Hadamard变换和数论变换对DICOM图像进行加密,并在拟群变换的同时引入扩散。采用安全快速二维离散分数傅里叶变换(DFRFT)和带霍夫曼编码器的SPIHT算法对图像进行压缩,与其他变换相比,它提供了安全的医学图像压缩。实验结果对基于PSNR和MSE的加密方法进行了性能评估,结果表明该方法具有较好的加密效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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