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Secure image encryption and authentication using the photon counting technique in the Gyrator domain

机译:使用波隆域中的光子计数技术安全图像加密和认证

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In this work, we present the integration of the photon counting technique (PhCT) with an encryption system in the Gyrator domain (GD) for secure image authentication. The encryption system uses two random phase masks (RPMs), one RPM is defined at the spatial domain and the other RPM is defined at the GD, in order to encode the image to encrypt (original image) into random noise. The rotation angle of the Gyrator transform adds a new key that increases the security of the encryption system. The decryption system is an inverse system with respect to the encryption system. The PhCT limits the information content of an image in a nonlinear, random and controlled way; the photon-limited image only has a few pixels of information, this type of image is usually known as sparse image. We apply the PhCT over the encrypted image. The resulting image in the decryption system is not a copy of the original image, this decrypted image is a random code that should contain the sufficient information for the authentication of the original image using a nonlinear correlation technique. Finally, we evaluate the peak-to-correlation energy metric for different values of the parameters involved in the encryption and authentication systems, in order to test the verification capability of the authentication system.
机译:在这项工作中,我们向光子域(GD)中的加密系统呈现了光子计数技术(PHCT)的集成,用于安全图像认证。加密系统使用两个随机相位掩模(RPMS),在空间域中定义一个RPM,并且在GD处定义另一个RPM,以便将图像对准(原始图像)进行加密到随机噪声。热动器变换的旋转角度增加了增加加密系统安全性的新密钥。解密系统是关于加密系统的反向系统。 PHCT以非线性,随机和受控方式限制图像的信息内容;光子限制图像仅具有几个信息像素,这种类型的图像通常称为稀疏图像。我们将PHCT应用于加密图像。解密系统中的结果图像不是原始图像的副本,该解密图像是一种随机代码,其应该使用非线性相关技术包含用于认证原始图像的足够信息。最后,我们评估加密和认证系统中涉及的参数的不同值的峰值与相关能量指标,以测试认证系统的验证能力。

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