一种基于数字滤波器结构内部重组的地图图像加密方法

I.L. Zhbanov, V. Zhbanova
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引用次数: 0

摘要

提出了一种基于滤波器内部结构重组的地理图像加密方法。以MATLAB环境下的数字图像滤波方法为基础。加密的本质是控制噪声的混叠和模糊核。知道这些值将允许收件人以最小的干扰恢复传输的卡,这对于数据拦截器来说是无法实现的。在不利因素的条件下,有时会出现导致图像信息内容丢失,从而造成信息损坏的情况。因此,研究如何将它们的影响降到最低是一项紧迫的研究任务。因此,提出了一种构造具有可控结构的空间滤波器的方法,用于在不同强度的噪声中选择对比图像。描述了将任何空间过滤器从初始显示转换为允许您控制其内部状态的形式的过程。通过对原始图像和变换后的图像进行分析,可以得出在块中实际应用所提出的不变空间滤波器对原始图像进行分析的可能性。该方法可用于为任何目的使用数据传输系统在消费者之间传输照片、视频信息和文本信息。由于因子依赖,信息拦截器很难找到信息拦截器所需的所有图像加密参数(大小,失真函数的类型,正则化参数α和σ)的最终位置,因为计算成本与现代计算机的能力不相称。这可以用于为任何目的在使用数据传输系统的消费者之间传输照片、视频信息和文本信息,特别是在传输地图信息时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method for encryption of cartographic images on the basis of internal reorganization of the digital filter structure
The paper presents a method for encrypting geo-images based on the reorganization of the internal structure of the filter. Methods for digital image filtering in the MATLAB environment are taken as a basis. The essence of encryption is to control the aliasing of noise and the kernel of smearing. Knowing these values will allow the addressee to recover the transmitted cards with minimal interference, which will be unattainable for the data interceptor. Under conditions of unfavorable factors, conditions sometimes arise that lead to the loss of information content of images and, as a consequence, damage to information. Therefore, the development of methods to minimize their influence is an urgent task of the study. Thus, one of the approaches to the construction of spatial filters with a controlled structure is proposed for the selection of contrasting images in noises of different intensities. The procedure for converting any spatial filter from an initial display to a form that allows you to control its internal state is described. The obtained results of the original and transformed images make it possible to draw conclusions about the possibility of practical application of the proposed invariant spatial filter in the blocks for analyzing the original image. The method can be used to transfer photo, video messages and text information between consumers using data transmission systems for any purpose. Due to the factorial dependence, it is very problematic for information interceptors to find the required resulting position of all image encryption parameters (sizes, type of the distortion function, regularization parameters α and σ) for information interceptors, since the computational costs are not commensurate with the capabilities of modern computers. This can be used to transfer photo, video messages and text information between consumers using data transmission systems for any purpose, especially when transferring cartographic information.
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