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Fast Copy-Move Forgery Detection

机译：快速复制移动伪造检测

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摘要

This paper proposes a method for detecting copy-move forgery over images tampered by copy-move. To detect such forgeries, the given image is divided into overlapping blocks of equal size, feature for each block is then extracted and represented as a vector, all the extracted feature vectors are then sorted using the radix sort. The difference (shift vector) of the positions of every pair of adjacent feature vectors in the sorting list is computed. The accumulated number of each of the shift vectors is evaluated. A large accumulated number is considered as possible presence of a duplicated region, and thus all the feature vectors corresponding to the shift vectors with large accumulated numbers are detected, whose corresponding blocks are then marked to form a tentative detected result. Finally, the medium filtering and connected component analysis are performed on the tentative detected result to obtain the final result. Compared with other methods, employing the radix sort makes the detection much more efficient without degradation of detection quality.
机译：提出了一种检测被复制移动篡改图像的复制移动伪造的方法。为了检测这种伪造，将给定图像划分为相等大小的重叠块，然后提取每个块的特征并将其表示为向量，然后使用基数排序对所有提取的特征向量进行排序。计算排序列表中每对相邻特征向量的位置之差（移位向量）。评估每个移位向量的累加数量。大的累积数量被认为是可能存在重复区域，因此，检测到与具有大累积数量的移位向量相对应的所有特征向量，然后标记其对应的块以形成暂定的检测结果。最后，对暂定检测结果进行介质过滤和关联成分分析，以获得最终结果。与其他方法相比，采用基数排序使检测效率更高，而不会降低检测质量。

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