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A simple and efficient approach for medical image security using chaos on EZW

机译:在EZW上使用混沌的一种简单有效的医学图像安全方法

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In this digital era medical image security is important as they carry highly personal data, which should be kept away from the hackers and unauthorized persons, as these images are transmitted/stored among hospitals and also by health insurance companies. Chaos based cryptography/security has been increased in recent years. In this paper we proposed an algorithm, in which security can be given along with effective compression of image. Our process of providing image security starts with compressing the image using EZW. The output sequence of EZW is converted to 2D and on the 2D data we are going to apply row wise and column wise scrambling algorithm based on chaos. In this paper we are also going to discuss about part of EZW in providing additional security to image along with its main function of compression.
机译:在这种数字时代,医学图像安全性很重要,因为它们具有高度个人数据,这应该远离黑客和未经授权的人,因为这些图像被传送/存储在医院和健康保险公司之间。近年来,基于混乱的加密/安全性已经增加。在本文中,我们提出了一种算法,其中可以具有有效压缩图像的安全性。我们提供图像安全的过程从使用EZW压缩图像开始。 EZW的输出序列被转换为2D,并且在2D数据上,我们将根据混沌应用行明智和列明智的加扰算法。在本文中,我们还将讨论EZW的一部分,以便为图像提供额外的安全性以及其压缩的主要功能。

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