Detection of copy-move forgery using Krawtchouk moment

M. Imamoglu, G. Ulutaş, M. Ulutaş
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引用次数: 24

Abstract

Copy move forgery is a popular image tampering technique that copies part of the image onto another region of the same image. Detection is possible by exploring similar regions in an image and based on regional features' similarity. Many feature extraction algorithms are used to extract information from non overlapping blocks of the image. Similar features from separate regions are an indication of a copy move forged image. Image moments are used to represent the image blocks during forgery detection recently. Krawtchouk moments are used to extract regional features and detect copy move forgery in this paper. They are not used to extract features and detect forged images before. Experimental results indicate that the proposed method can detect copy move forgery for both regular and irregular shaped regions. Besides, the method is resilient to additive white Gaussian noise, blurring attacks. Experimental results also show that the method has higher accuracy ratio compared to similar works for post processed (Gaussian blurred) forged images.
利用克劳楚克矩检测复制-移动伪造
复制移动伪造是一种流行的图像篡改技术,它将图像的一部分复制到同一图像的另一个区域。通过探索图像中的相似区域并基于区域特征的相似性,可以实现检测。许多特征提取算法用于从图像的非重叠块中提取信息。来自不同区域的相似特征表明是复制或伪造图像。在伪造检测中,常用图像矩来表示图像块。本文利用克劳tchouk矩提取图像的区域特征,检测图像的复制移动伪造。它们以前没有被用来提取特征和检测伪造图像。实验结果表明,该方法可以检测规则和不规则形状区域的复制移动伪造。此外,该方法具有抗加性高斯白噪声、模糊攻击的能力。实验结果表明,该方法对后处理(高斯模糊)伪造图像具有较高的准确率。
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