基于线性方程的块特征相关图像水印篡改检测

Chin-Feng Lee, Kuo-Nan Chen, Chinchen Chang, Meng-Cheng Tsai
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引用次数: 3

摘要

提出了一种新的检测图像篡改的水印方法。首先,使用一对水印像素作为线性函数的系数来创建认证号。主机块的中心像素,作为线性函数的输入数据。然后使用重新访问的LSB匹配嵌入过程将该块的身份验证信息嵌入到主机映像中。在检测阶段,通过重新访问ISB匹配提取认证信息,验证图像块是否被篡改。认证信息建立块特征的相关性。这种相关性有助于抵御VQ攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Block Feature Correlation Based Image Watermarking for Tamper Detection Using Linear Equation
A new watermark method for detecting image tampering is proposed in this paper. First, an authentication number is created by using a pair of watermark pixels as the coefficients of a linear function. The central pixel of a host block as the input data to the linear function. The authentication information of that block is then embedded into the host image using the LSB matching revisited embedding procedure. In the detection stage, ISB matching revisited will be applied to extract the authentication information and to verify whether the image blocks have been tampered with. The authentication information establishes the block feature correlation. This kind of correlation helps resist VQ attack.
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