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Image forgery detection for region duplication tampering

机译:用于区域重复篡改的图像伪造检测

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This paper proposes an automatic tampering detection algorithm to detect the region duplication forgery on a digital image. This algorithm uses dual spare features and structure similarity to enhance the detection performance of the region duplication. We also create a local outlier detector to recognize the intrinsic repeated elements to avoid the false positive detection. For a quantitative performance analysis, the forgery images are automatically generated the region duplication with geometric and brightness distortion by the tampering generator. The experimental results show our proposed algorithm is more robust and effective than similar works in literature.
机译:提出了一种自动篡改检测算法,用于检测数字图像上的区域重复伪造。该算法利用双重备用特征和结构相似性来增强区域重复的检测性能。我们还创建了一个局部异常值检测器,以识别固有的重复元素,从而避免误报检测。对于定量性能分析,伪造图像由篡改生成器自动生成具有几何形状和亮度失真的区域重复。实验结果表明,本文提出的算法比文献上的同类算法更鲁棒,更有效。

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