论文标题
基于二分光反射模型的篡改图像中剪接边缘的识别
Identification of splicing edges in tampered image based on Dichromatic Reflection Model
论文作者
论文摘要
成像是一个结合了大量光伏转换的复杂过程，它导致了最终图像中视觉感知超出视觉感知的一些光谱签名。任何针对原始图像的操纵都会破坏这些签名，并在最后的伪造中不可避免地留下一些痕迹。因此，我们提出了一种新型的视觉物理方法，可以在篡改图像中区分自然边缘的剪接边缘。首先，我们将法医图像从RGB转换为S和O1O2的颜色空间。然后，在假设二分反射模型的假设上，图像中的边缘通过复合梯度发现，并根据其不同的光度特性分类为不同的类型。最后，通过简单的逻辑算法保留剪接边缘对天然的边缘。实验结果表明该方法的功效。
Imaging is a sophisticated process combining a plenty of photovoltaic conversions, which lead to some spectral signatures beyond visual perception in the final images. Any manipulation against an original image will destroy these signatures and inevitably leave some traces in the final forgery. Therefore we present a novel optic-physical method to discriminate splicing edges from natural edges in a tampered image. First, we transform the forensic image from RGB into color space of S and o1o2. Then on the assumption of Dichromatic Reflection Model, edges in the image are discovered by composite gradient and classified into different types based on their different photometric properties. Finally, splicing edges are reserved against natural ones by a simple logical algorithm. Experiment results show the efficacy of the proposed method.
