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A Novel Probabilistic Image Authentication Methodbased on Universal Hash Function for Rgb Images

机译:基于通用哈希函数的Rgb图像概率图像认证新方法

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摘要

In this paper, a novel hash based image authentication for RGB (Red, Green, Blue) images is proposed. Firstly, universal hash function is modified according to R, G and B layers and 3 different function is obtained to watermarking generation then, watermark generation is performed by using these equations. In this method, one layer is used for watermark embedding. Modulo based data hiding method is used for watermark embedding. To provide confidentiality of the proposed method, chaotic random number generator that is logistic map is used. The embedding layer and watermark generation function are selected by using logistic map. In watermark extraction, modulo operator is used. Watermark generation step is repeated for tamper detection. The extracted watermark and generated watermark are compared with each other. If these watermarks are equal, image is authenticated, otherwise tamper detection is detected. In the proposed method, DWT (Discrete Wavelet Transform) and SVD (Singular Value Decomposition) are used for generating perceptual hash of images and recovering images. Experimental result showed that the proposed method achieved high image authentication ability with minimum distortion.
机译:在本文中,提出了一种新颖的基于散列的RGB(红,绿,蓝)图像认证算法。首先,根据R,G和B层对通用哈希函数进行修改,得到3种不同的函数进行水印生成,然后利用这些方程式进行水印生成。在这种方法中,一层用于水印嵌入。基于模块的数据隐藏方法用于水印嵌入。为了提供所提出方法的机密性,使用了逻辑映射的混沌随机数生成器。使用逻辑地图选择嵌入层和水印生成功能。在水印提取中,使用模运算符。重复水印生成步骤以进​​行篡改检测。将提取的水印和生成的水印相互比较。如果这些水印相等,则图像被认证,否则检测到篡改检测。在提出的方法中,DWT(离散小波变换)和SVD(奇异值分解)用于生成图像的感知哈希并恢复图像。实验结果表明,该方法具有较高的图像认证能力,失真最小。

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