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Identifying Image Composites Through Shadow Matte Consistency

机译:通过阴影遮罩一致性识别图像合成

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摘要

In this paper, we propose a framework for detecting tampered digital images based on photometric consistency of illumination in shadows. In particular, we formulate color characteristics of shadows measured by the shadow matte value. The shadow boundaries and the penumbra shadow region in an image are first extracted. Then a simple and efficient method is used to estimate shadow matte values of shadows. Our approach efficiently extracts these constraints from a single view of a target scene and makes use of them for the digital forgery detection. Experimental results on both simulated photos and visually plausible real images demonstrate the effectiveness of the proposed method.
机译:在本文中,我们提出了一种基于阴影中照度的光度一致性来检测篡改数字图像的框架。特别是,我们制定了通过阴影遮罩值测量的阴影的颜色特征。首先提取图像中的阴影边界和半影阴影区域。然后使用一种简单有效的方法来估计阴影的阴影遮罩值。我们的方法有效地从目标场景的单个视图中提取了这些约束,并将其用于数字伪造检测。在模拟照片和视觉上看起来真实的真实图像上的实验结果证明了该方法的有效性。

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