Discrete Fourier Transform based multimedia colour image authentication for wireless communication (DFTMCIAWC)

N. Ghoshal, J. K. Mandal
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引用次数: 12

Abstract

This paper presents a novel steganographic schemes based on Discrete Fourier Transformation (DFT) and demonstrates the multimedia colour image authentication process in frequency domain for wireless communication(DFTMCIAWC). Authentication is done through embedding secrete message/image into the transformed frequency components of the source image at message originating node. The DFT is applied on sub-image block called mask of size 2 × 2 in row major order where authenticating message/image bit is fabricated within the real frequency component of each source image byte except the first frequency component of each mask. In order to retain the quantum value positive and non fractional in spatial domain, a delicate readjustment phase is used in the first frequency component of each mask as a post embedding handler. Robustness is achieved through embedding secrete message/image into both positive and negatives frequency component of source image and invisibility is satisfied in spatial domain using delicate re-adjust phase. Inverse DFT (IDFT) is performed after embedding to transform embedded image from frequency domain to spatial domain and the embedded image is transmitted across the network. At the destination node authentication is done through extraction process of embedded image. Experimental results demonstrate that the proposed algorithm performs better than discrete cosine transformation and quaternion Fourier transformation based schemes, and provide security and originality of data in wireless domain.
基于离散傅里叶变换的多媒体彩色图像无线通信认证(DFTMCIAWC)
提出了一种基于离散傅立叶变换(DFT)的新型隐写方案,并演示了无线通信多媒体彩色图像频域认证过程(DFTMCIAWC)。身份验证是通过在消息发送节点将秘密消息/图像嵌入到源图像变换后的频率分量中来完成的。DFT应用于大小为2 × 2的子图像块(按行主顺序),其中身份验证消息/图像位在每个源图像字节的实频率分量内生成,但每个掩码的第一个频率分量除外。为了在空间域中保持量子值的正数和非分数,在每个掩码的第一个频率分量中使用一个精细的调整相位作为嵌入后的处理程序。通过将秘密信息/图像嵌入到源图像的正负频率分量中来实现鲁棒性,并通过精细的重调整相位来满足空间域的不可见性。嵌入后进行逆DFT (IDFT),将嵌入图像从频域变换到空间域,并在网络中传输。在目标节点上,通过对嵌入图像的提取进行认证。实验结果表明,该算法比基于离散余弦变换和基于四元数傅立叶变换的算法具有更好的性能,并能保证无线域数据的安全性和原创性。
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