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首页> 外文期刊>International journal of digital crime and forensics >Blind Detection of Partial-Color-Manipulation Based on Self-PRNU Estimation
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Blind Detection of Partial-Color-Manipulation Based on Self-PRNU Estimation

机译：基于自PRNU估计的部分色彩处理的盲检测

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摘要

This article describes how to detect color manipulation which is a commonly used method in the field of digital image forgery. The difficulty that hue forgery does not change the image edges, shapes and gradations brings certain challenge to authenticity detection. Current methods utilize the PRNU from multiple un-tampered images, requiring the camera type to be known. However, the increasing varieties of digital devices greatly complicates the preparation of prior knowledge. This article proposes a blind detection method for partial color manipulation based on self-PRNU of suspicious image, eliminating the necessity of acquiring camera information. The authors estimate the PRNU of suspicious image by removing the regions due to its texture complexity. The tamper region is detected by calculating the correlation between estimated PRNU and residual noise. As to partial manipulation detection, an introduced threshold of connected components is used to reduce the false positive. The experimental results show that the method can effectively detect and locate the partial color manipulation.
机译：本文介绍如何检测色彩操纵，这是数字图像伪造领域中的一种常用方法。色相伪造不会改变图像边缘，形状和灰度的困难给真实性检测带来了一定的挑战。当前的方法利用来自多个未篡改图像的PRNU，要求知道摄像机的类型。但是，数字设备种类的增加极大地增加了先验知识的准备。本文提出了一种基于可疑图像自PRNU的部分色彩处理盲检测方法，消除了获取相机信息的必要性。由于纹理复杂性，作者通过删除可疑图像的区域来估计其PRNU。通过计算估计的PRNU与残留噪声之间的相关性来检测篡改区域。对于部分操纵检测，所引入的连接组件的阈值用于减少误报。实验结果表明，该方法可以有效地检测和定位部分色彩操作。

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