Histogram Based Visible Image Encryption for Real Time Applications

K. Kiran, S. D S, B. K N, H. Rohith, Sharath Kumar A J, G. M T
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Abstract

: Like most patient information, medical imaging data is subject to strict data protection and confidentiality requirements. This raises the issue of sending the data which contains a medical image on an open network as per the above issue, also there might be a leakage of information. Encrypting an Image and hiding the information in it is the Potential way of avoiding this problem. But there might be many problems when we try restoring the original image. As a solution to that, an algorithm dealing with region of intrest (ROI) in medical images based on the pixels of interest and histogram peak technique. Firstly Image histogram peak technique is used for calculating peaks in medical images. Then set the Threshold value to segregate the pixels of interest in the medical images. The threshold value can be calculated by taking an average of all peaks in the histogram. These pixels are encrypted with the help of the Sudoku matrix. The proposed scheme will be evaluated using a various test based on statistics along with those results which will be compared to benchmarks of the existing work. We can see the better performance in terms of security from the proposed technique.
基于直方图的实时可见图像加密
与大多数患者信息一样,医学影像数据受到严格的数据保护和保密要求。根据上述问题,这就提出了在开放网络上发送包含医学图像的数据的问题,也可能存在信息泄露的问题。加密图像并隐藏其中的信息是避免此问题的潜在方法。但是当我们尝试恢复原始图像时可能会有很多问题。为了解决这一问题,提出了一种基于感兴趣像素和直方图峰值技术的医学图像感兴趣区域处理算法。首先利用图像直方图峰值技术计算医学图像中的峰值。然后设置阈值以隔离医学图像中感兴趣的像素。阈值可以通过取直方图中所有峰值的平均值来计算。这些像素在数独矩阵的帮助下被加密。将使用基于统计数据的各种测试来评估拟议的计划,并将这些结果与现有工作的基准进行比较。我们可以从所提出的技术的安全性方面看到更好的性能。
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