Ieee Transactions on Information Forensics and Security 1 Blind Authentication Using Periodic Properties of Interpolation
Ieee Transactions on Information Forensics and Security 1 Blind Authentication Using Periodic Properties of Interpolation
复制标题
DOI：
--
复制
发表时间：
--
期刊：
影响因子：
--
通讯作者：
Babak Mahdian;S. Saic
中科院分区：
文献类型：
--
作者：
Babak Mahdian;S. Saic
在本文中，我们分析和解析地描述了内插过程给信号的协方差结构带来的具体统计变化。我们证明了内插信号及其导数包含特定的可检测的周期性质。在此基础上，提出了一种盲的、高效的、自动的重采样和内插的方法。该方法在很多领域都有很大的应用价值，特别是在图像安全和认证方面。例如，当两个或多个图像拼接在一起时，为了创建高质量和一致的图像伪造，几乎总是需要诸如缩放、旋转或倾斜等几何变换。这些过程通常基于重采样和内插步骤。通过拥有一种能够检测重采样痕迹的方法，我们可以显著减少此类伪造的成功使用。其中，该方法在几何变换因子的估计中也非常有用。
—In this paper we analyze and analytically describe the specific statistical changes brought into the covariance structure of signal by the interpolation process. We show that interpolated signals and their derivatives contain specific detectable periodic properties. Based on this, we propose a blind, efficient and automatic method capable of finding traces of resampling and interpolation. The proposed method can be very useful in many areas, especially in image security and authentication. For instance, when two or more images are spliced together, to create high quality and consistent image forgeries, almost always geometric transformations such as scaling, rotation or skewing are needed. These procedures are typically based on a resampling and interpolation step. By having a method capable of detecting the traces of resampling, we can significantly reduce the successful usage of such forgeries. Among other points, the presented method is also very useful in estimation of the geometric transformations factors.