基于DCT频域的Hough变换自签名图像认证(IAHTSSDCT)

M. Sengupta, J. K. Mandal
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引用次数: 4

摘要

本文提出了一种基于DCT的频域隐写技术——IAHTSSDCT,用于灰度图像的认证。封面图像经过基于哈希函数的霍夫变换生成唯一签名作为保密信息。作为嵌入的第一步,利用DCT将2x2的行主阶掩模变换到时域,得到其相应的频率分量。使用密钥和哈希函数将秘密签名/信息嵌入到选择性AC系数中。为了生成隐写图像,这些频率系数然后通过逆DCT。提取也是通过同样的程序完成的。实验结果与现有的隐写技术如SAWT[1]和YulinWang[3]在均方误差(MSE)、峰值信噪比(PSNR)和图像保真度(IF)方面进行了计算和比较,在IAHTSSDCT中表现出更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Authentication Using Hough Transform Generated Self Signature in DCT Based Frequency Domain (IAHTSSDCT)
In this paper a DCT based steganographic technique in frequency domain, termed as IAHTSSDCT has been proposed for authentication of gray scale images. The cover image passes through Hough transformation based on hash function to generate unique signature treated as secret information. As the first step of embedding the cover image transformed into time domain using 2x2 masks in row major order using DCT resulting its corresponding frequency components. Using a secret key and hash function the secret signature/information is embedded into selective AC coefficients. To generate stegoimage those frequency coefficients then passes through inverse DCT. Extraction is also done through same procedure. Experimental results are computed and compared with the existing steganographic techniques like SAWT [1] and YulinWang [3] in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Image Fidelity (IF) which show better performances in IAHTSSDCT.
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