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首页> 外文期刊>Forensic science international >A robust detection algorithm for copy-move forgery in digital images
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A robust detection algorithm for copy-move forgery in digital images

机译：用于数字图像复制移动伪造的鲁棒检测算法

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With the availability of the powerful editing software and sophisticated digital cameras, region duplication is becoming more and more popular in image manipulation where part of an image is pasted to another location to conceal undesirable objects. Most existing techniques to detect such tampering are mainly at the cost of higher computational complexity. In this paper, we present an efficient and robust approach to detect such specific artifact. Firstly, the original image is divided into fixed-size blocks, and discrete cosine transform (DCT) is applied to each block, thus, the DCT coefficients represent each block. Secondly, each cosine transformed block is represented by a circle block and four features are extracted to reduce the dimension of each block. Finally, the feature vectors are lexicographically sorted, and duplicated image blocks will be matched by a preset threshold value. In order to make the algorithm more robust, some parameters are proposed to remove the wrong similar blocks. Experiment results show that our proposed scheme is not only robust to multiple copy-move forgery, but also to blurring or nosing adding and with low computational complexity.
机译：随着功能强大的编辑软件和复杂的数码相机的使用，区域复制在图像处理中变得越来越流行，在图像处理中，将图像的一部分粘贴到另一个位置以隐藏不想要的对象。检测这种篡改的大多数现有技术主要是以更高的计算复杂度为代价的。在本文中，我们提出了一种有效且鲁棒的方法来检测此类特定工件。首先，将原始图像划分为固定大小的块，并对每个块应用离散余弦变换（DCT），因此，DCT系数表示每个块。其次，每个余弦变换的块由一个圆形块表示，并提取四个特征以减小每个块的尺寸。最后，按字典顺序对特征向量进行排序，并将通过预设阈值匹配重复的图像块。为了使算法更健壮，提出了一些参数以去除错误的相似块。实验结果表明，本文提出的方案不仅对多次复制移动伪造具有鲁棒性，而且对加法模糊或无意义加法运算具有较低的计算复杂度。

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