Abstract

The widespread availability of advanced digital image technology and powerful image editing tools has made it extremely easy to manipulate image content. One popular technique that is challenging for tampering detection methods is the copy–move forgery. Here, one part of the image is copied and is pasted into another part of the same image. Image tampering is very difficult to detect with the naked eye. The authenticity of digital images is critical when they are used as evidence in court, for news reports or insurance claims, as they have the power to influence decisions and outcomes. Hence, this paper presents an efficient method for copy–move forgery detection by means of a HOG descriptor and local binary pattern variance algorithms. The copy–move forgery detection (CMFD) approach is introduced and is applied to the forged region by determining suitable post-processing techniques. The proposed technique is evaluated using MICC-F220, MICC-F2000, UCID, CoMoFoD and CASIA TIDE data sets in which translation, flipping, rotation, scaling, color reduction, brightness change and JPEG compression are applied to an image. The experimental performance of the proposed technique is assessed in terms of the true- and false-detection rates. Ultimately, our proposed method is highly suitable for detecting the altered region, and accurate CMFD results are obtained in forensic image applications.

中文翻译：

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在具有数字图像的小波变换空间中使用混合的局部和全局特征进行篡改检测

摘要

先进的数字图像技术和强大的图像编辑工具的广泛普及使操作图像内容变得极为容易。复制移动伪造是一种对篡改检测方法具有挑战性的流行技术。在此，图像的一部分被复制并粘贴到同一图像的另一部分中。用肉眼很难检测到图像篡改。当数字图像在法庭上用作新闻报道或保险索赔的证据时，其真实性至关重要，因为它们可以影响决策和结果。因此，本文提出了一种通过HOG描述符和局部二进制模式方差算法进行复制移动伪造检测的有效方法。引入了复制移动伪造检测（CMFD）方法，并通过确定适当的后处理技术将其应用于伪造区域。使用MICC-F220，MICC-F2000，UCID，CoMoFoD和CASIA TIDE数据集对提出的技术进行了评估，其中将平移，翻转，旋转，缩放，颜色缩小，亮度变化和JPEG压缩应用于图像。提出的技术的实验性能是根据正确和错误检测率进行评估的。最终，我们提出的方法非常适合检测变化区域，并且在法医图像应用中可以获得准确的CMFD结果。颜色减少，亮度变化和JPEG压缩将应用于图像。所提出技术的实验性能是根据真假检测率进行评估的。最终，我们提出的方法非常适合检测变化的区域，并且在法医图像应用中可以获得准确的CMFD结果。颜色减少，亮度变化和JPEG压缩将应用于图像。所提出技术的实验性能是根据真假检测率进行评估的。最终，我们提出的方法非常适合检测变化区域，并且在法医图像应用中可以获得准确的CMFD结果。