IEEE Trans Image Process. 2013 Dec;22(12):4699-710. doi: 10.1109/TIP.2013.2277814. Epub 2013 Aug 8.
Recently, the median filtering (MF) detector as a forensic tool for the recovery of images' processing history has attracted wide interest. This paper presents a novel method for the blind detection of MF in digital images. Following some strongly indicative analyses in the difference domain of images, we introduce two new feature sets that allow us to distinguish a median-filtered image from an untouched image or average-filtered one. The effectiveness of the proposed features is verified with evidence from exhaustive experiments on a large composite image database. Compared with prior arts, the proposed method achieves significant performance improvement in the case of low resolution and strong JPEG post-compression. In addition, it is demonstrated that our method is more robust against additive noise than other existing MF detectors. With analyses and extensive experimental researches presented in this paper, we hope that the proposed method will add a new tool to the arsenal of forensic analysts.
最近，中值滤波（MF）检测器作为一种恢复图像处理历史的取证工具引起了广泛关注。本文提出了一种新的数字图像中 MF 的盲检测方法。通过对图像差分域的一些强指示性分析，我们引入了两个新的特征集，使我们能够区分中值滤波图像与未处理图像或平均滤波图像。通过在大型复合图像数据库上进行的详尽实验，验证了所提出特征的有效性。与现有技术相比，在低分辨率和强 JPEG 后压缩的情况下，所提出的方法在性能上有显著的提高。此外，还证明了与其他现有的 MF 检测器相比，我们的方法对加性噪声更稳健。通过本文提出的分析和广泛的实验研究，我们希望所提出的方法将为法医分析人员提供一种新的工具。
