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A Novel Approach for Detecting Forged Image

机译:一种检测锻造图像的新方法

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摘要

The advent of digital technology has not only brought about benefits but also some problems, such as the ease of creating image fogery. In this paper, we present a novel approach for tamper localization, which is based on the edge detection. We first process the input image with a smoothing filter, and then we use the LOG (Laplace-Gaussian Operator) edge detector for edge detection. By the evidence from the above steps, we can finally make judgement on missed edge: if the forged region is connected and its size is not less than 0.85% of the whole image size, we can judge that this forgery is significative. The results of our experiments illustrate that the novel approach can accurately detect the trace of blur operation when composite forgery happens. Besides, this approach can precisely locate the forged region.
机译:数字技术的出现不仅带来了福利,还具有一些问题,例如易于创造图像雾化。在本文中,我们提出了一种用于篡改本地化的新方法,其基于边缘检测。我们首先使用平滑过滤器处理输入图像,然后我们使用日志(Laplace-Gaussian操作员)边缘检测器进行边缘检测。通过上述步骤的证据,我们最终可以对错过边缘作出判断:如果伪造的区域连接,其尺寸不低于整个图像尺寸的0.85%,我们可以判断这一伪造是有意义的。我们的实验结果说明了新颖的方法可以在综合伪造时准确地检测模糊操作的痕迹。此外,这种方法可以精确地定位锻造区域。

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