Exposing image forgery with blind noise estimation
Exposing image forgery with blind noise estimation
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DOI：
10.1145/2037252.2037256
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发表时间：
2011-09
期刊：
影响因子：
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通讯作者：
Xunyu Pan;Xing Zhang;Siwei Lyu
中科院分区：
文献类型：
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作者：
Xunyu Pan;Xing Zhang;Siwei Lyu
噪声在高质量图像中是不需要的，但它可以帮助图像篡改。例如，可以在图像中故意添加噪声以隐藏篡改区域并创建特殊的视觉效果。它也可能在相机成像过程中被忽视，这使得拼接图像中的噪声水平不一致。在本文中，我们提出了一种方法来暴露这样的图像fortunes通过检测原始和篡改部分的图像之间的噪声方差差异。局部图像块的噪声方差估计使用最近开发的技术，其中不需要关于成像设备或原始图像的先验信息。篡改区域从原始图像分割的两个阶段的粗到精的图像块聚类。实验结果表明，该方法能有效地检测出图像中的异物，具有较高的检测精度和较低的误报率。
Noise is unwanted in high quality images, but it can aid image tampering. For example, noise can be intentionally added in image to conceal tampered regions and to create special visual effects. It may also be introduced unnoticed during camera imaging process, which makes the noise levels inconsistent in splicing images. In this paper, we propose a method to expose such image forgeries by detecting the noise variance differences between original and tampered parts of an image. The noise variance of local image blocks is estimated using a recently developed technique, where no prior information about the imaging device or original image is required. The tampered region is segmented from the original image by a two-phase coarse-to-fine clustering of image blocks. Our experimental results demonstrate that the proposed method can effectively detect image forgeries with high detection accuracy and low false positive rate both quantitatively and qualitatively.