A method of identifying digital images with geometric distortion
A method of identifying digital images with geometric distortion
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DOI：
10.1080/00450618.2015.1128970
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发表时间：
2017-01
影响因子：
1
通讯作者：
M. Hwang;Sung min Kim;Donghwan Har
中科院分区：
文献类型：
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作者：
M. Hwang;Sung min Kim;Donghwan Har
在这个数字时代，任何人都可以使用各种编辑工具轻松篡改原始图像。其中一个问题是，被篡改的图像被用于侵犯肖像权和伪造官方文件等犯罪。到目前为止，各种研究已经调查了一种方法来识别篡改的图像。然而，这些研究不能检测篡改区域时，几何变换应用到原始图像，因为几何变换涉及到各种插值方法。在本文中，我们提出了一种新的方法来检测篡改区域。首先，将插值应用于图像。如果图像被几何变换篡改，则该重新插值具有强调篡改区域的作用。其次，我们使用重新插值的图像在频域中创建检测图，这有助于直观地识别篡改区域。我们在两种图像上测试了我们的提议。一个是完全改变了几何变换，另一个是部分改变了几何变换。实验结果表明，该算法不仅可以很容易地检测出篡改区域，而且可以很好地检测出篡改方向。
In this digital era, anyone can easily tamper with an original image using various editing tools. One problem is that tampered images are being used for crimes such as the violation of portrait rights and the forgery of official documents. So far, various studies have been investigating a method for identification of the tampered images. However, these studies cannot detect the tampered region when geometric transforms are applied to the original image, because the geometric transform involves various interpolation methods. In this paper, we propose a new method for detecting the tampered region. First, the interpolation is applied to the image. If the image is tampered with by geometric transformation, then this re-interpolation has a role of emphasising the tampered region. Secondly, we create a detection map in the frequency domain using the re-interpolated image, which is useful to intuitively identify the tampered region. We tested our proposal on two kinds of image. One is entirely changed by geometric transforms, and the other is partially changed by geometric transforms. Our experimental result shows that we can easily catch not only the tampered region but also the distortion direction.