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Space Bandwidth Considerations for Optical Encryption Systems

机译:光加密系统的空间带宽注意事项

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There has been considerable attention paid in recent literature to the use of optical signal processing in the field of image encryption and security. In most cases this involves the use of optical transforms based on quadratic phase systems (to implement the optical Fourier Transform (FT), the optical fractional Fourier Transform (FRT), the Fresnel transform (FST) and the most general Linear Canonical Transform (LCT). Random phase screens or random shifting.stages are applied after optically transforming to a new domain. The process may be repeated for deeper encryption. Each stage of the encryption process may change the position and spatial extension of the complex distribution on the plane normal to the propagation axis. Each stage may also change the frequency distribution of the signal. Therefore, the space bandwidth product (SBP), which is equal to the number of discrete samples that are required to fully represent our signal, will also change. In general the encrypted image is complex and recording must be carried out using a holographic material or using digital holographic methods. In each case it is desirable to know the spatial extension of the signal to be recorded, its position, and its spatial frequency extension. In this way we can determine which holographic materials will meet the criteria or which cameras will have a suitable number of pixels, greater than or equal to the space bandwidth product, if digital holography is used. We show how the matrices associated with the effect of a LCT on the Wigner Distribution Function (WDF) provide us with an efficient method for finding the position, spatial extent, spatial frequency extent and space bandwidth product of the encrypted signal. We review a number of methods, which have recently been proposed in the literature for the encryption of two-dimensional information using optical systems based on the FT, FRT, FST and LCT. We apply the new matrix technique to some of them.
机译:在最近的文献中,已经非常注意在图像加密和安全领域中光信号处理的使用。在大多数情况下,这涉及使用基于二次相位系统的光学变换(以实现光学傅立叶变换(FT),光学分数傅立叶变换(FRT),菲涅耳变换(FST)和最通用的线性规范变换(LCT) )。在光学转换到新域之后,应用随机相位屏蔽或随机移动阶段,可以重复此过程以进行更深层的加密。加密过程的每个阶段都可能会改变平面正态上复杂分布的位置和空间扩展每个阶段也可能会改变信号的频率分布,因此,等于完全代表我们的信号所需的离散样本数量的空间带宽乘积(SBP)也将发生变化。通常,加密的图像很复杂,必须使用全息材料或数字全息方法进行记录。要记录的信号的空间扩展,其位置及其空间频率扩展。通过这种方式,如果使用数字全息技术,我们可以确定哪些全息材料将符合标准,或者哪些相机将具有合适的像素数,大于或等于空间带宽乘积。我们展示了与LCT对Wigner分布函数(WDF)的影响相关的矩阵如何为我们提供一种有效的方法,以找到加密信号的位置,空间范围,空间频率范围和空间带宽积。我们回顾了许多方法,这些方法最近已在文献中提出,用于使用基于FT,FRT,FST和LCT的光学系统对二维信息进行加密。我们对其中一些应用了新的矩阵技术。

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