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A Hew Algorithm to Exposing Image Forgeries by Detecting Ambient Illumination Consistency

机译:通过检测环境照明稠度来暴露图像锻造的HEW算法

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Illumination consistency makes one of important roles in image authenticity, especially in splicing and copy-move rendering. This paper proposes a new method to estimate illuminant direction based on idea of binary sort tree. The algorithm calculates the least error function to structure the binary tree of illuminant direction. And it doesn't need to expand much time to solve pathosis equation and access accuracy is improved. The experiment shows that, the algorithm can effectively calculate the light source direction of different objects and backgrounds in an image especially in infinite light source, and the detection correct rate reaches 85.4% in general situation , what's more, 88.1% in infinite light source. Anyway, the algorithm in this paper is a great advancement of blind forensics based on consistency in lighting direction.
机译:照明一致性使图像真实性中的重要作用之一,特别是拼接和复制移动渲染。本文提出了一种基于二进制排序树的思想估算光源方向的新方法。该算法计算结构的发光方向二叉树的最小误差函数。并且它不需要扩展到解决病例方程的大量时间,并且获得访问精度得到改善。实验表明,该算法可以有效地计算图像中不同物体和背景的光源方向,特别是在无限光源中,并且在一般情况下,检测正确率达到85.4%,更为含量,无限光源88.1%。无论如何,本文的算法是基于照明方向的一致性的盲人取证的大大进步。

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