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Source camera identification based on CFA interpolation

机译:基于CFA插值的源摄像机识别

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In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of M. Kharrazi et al. (2004). The interpolation in the color surface of an image due to the use of a color filter array (CFA) forms the basis of the paper. We propose to identify the source camera of an image based on traces of the proprietary interpolation algorithm deployed by a digital camera. For this purpose, a set of image characteristics are defined and then used in conjunction with a support vector machine based multi-class classifier to determine the originating digital camera. We also provide initial results on identifying source among two and three digital cameras.
机译:在这项工作中,我们将结果扩展到M. Kharrazi等人的方向,从而将我们的注意力集中在盲源摄像机识别问题上。 (2004)。由于使用了彩色滤光片阵列(CFA)而在图像的彩色表面上进行插值构成了纸张的基础。我们建议根据数码相机部署的专有插值算法的轨迹来识别图像的源相机。为此,定义了一组图像特征,然后将其与基于支持向量机的多类分类器结合使用,以确定原始数码相机。我们还提供了在识别两个和三个数码相机中的信号源方面的初步结果。

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