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Contrast Enhancement Estimation for Digital Image Forensics

机译:数字图像取证的对比度增强估计

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Inconsistency in contrast enhancement can be used to expose image forgeries. In this work, we describe a new method to estimate contrast enhancement operations from a single image. Our method takes advantage of the nature of contrast enhancement as a mapping between pixel values and the distinct characteristics it introduces to the image pixel histogram. Our method recovers the original pixel histogram and the contrast enhancement simultaneously from a single image with an iterative algorithm. Unlike previous works, our method is robust in the presence of additive noise perturbations that are used to hide the traces of contrast enhancement. Furthermore, we also develop an effective method to detect image regions undergone contrast enhancement transformations that are different from the rest of the image, and we use this method to detect composite images. We perform extensive experimental evaluations to demonstrate the efficacy and efficiency of our method.
机译:对比度增强中的不一致可用于暴露图像伪造。在这项工作中,我们描述了一种从单个图像估计对比度增强操作的新方法。我们的方法利用对比度增强的性质作为像素值与其引入图像像素直方图的不同特征之间的映射。我们的方法使用迭代算法从单个图像中同时恢复原始像素直方图和对比度增强。与以前的工作不同,我们的方法在存在附加噪声扰动的情况下是鲁棒的,该扰动用于隐藏对比度增强的痕迹。此外,我们还开发了一种有效的方法来检测经过对比增强转换的图像区域,该区域不同于图像的其余部分,并且我们使用此方法来检测合成图像。我们进行了广泛的实验评估,以证明我们方法的有效性和效率。

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