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Revealing image forgery through image manipulation detection

机译:通过图像操纵检测揭示图像伪造

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摘要

Digital images have a very significant role in various fields like medical imaging, journalism, criminal and forensic investigations. Because of the widespread availability of photo editing software and tools, it becomes problematic to use the digital images in applications where their genuineness is of prime importance. Therefore, it is necessary to create forensic techniques which are capable of detecting the tampering in image. Most common operations that are involved in the creation of forged images are contrast enhancement, copy-paste forgery etc. In this paper, we present different techniques for detecting global contrast enhancement and copy-paste forgery. The proposed technique for the detection of contrast-enhanced image is based on contrast calculation. The technique is found to be robust against the JPEG compression as post-processing operation. In copy-paste forgery detection, we used DCT based feature extraction method. The technique can efficiently detect the small, medium and large size regions in the forged image.
机译:数字图像在医学成像,新闻,刑事和法医调查等各个领域都具有非常重要的作用。由于照片编辑软件和工具的广泛可用性,在其真实性至关重要的应用程序中使用数字图像变得有问题。因此,有必要创建能够检测图像篡改的取证技术。伪造图像创建中涉及的最常见操作是对比度增强,复制粘贴伪造等。在本文中,我们提出了用于检测全局对比度增强和复制粘贴伪造的不同技术。所提出的用于检测对比度增强图像的技术基于对比度计算。发现该技术对于作为后处理操作的JPEG压缩具有鲁棒性。在复制粘贴伪造检测中,我们使用了基于DCT的特征提取方法。该技术可以有效地检测伪造图像中的小,中和大尺寸区域。

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