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首页> 外文期刊>IEEE transactions on information forensics and security >Contrast Enhancement-Based Forensics in Digital Images
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Contrast Enhancement-Based Forensics in Digital Images

机译：数字图像中基于对比度增强的取证

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摘要

As a retouching manipulation, contrast enhancement is typically used to adjust the global brightness and contrast of digital images. Malicious users may also perform contrast enhancement locally for creating a realistic composite image. As such it is significant to detect contrast enhancement blindly for verifying the originality and authenticity of the digital images. In this paper, we propose two novel algorithms to detect the contrast enhancement involved manipulations in digital images. First, we focus on the detection of global contrast enhancement applied to the previously JPEG-compressed images, which are widespread in real applications. The histogram peak/gap artifacts incurred by the JPEG compression and pixel value mappings are analyzed theoretically, and distinguished by identifying the zero-height gap fingerprints. Second, we propose to identify the composite image created by enforcing contrast adjustment on either one or both source regions. The positions of detected blockwise peak/gap bins are clustered for recognizing the contrast enhancement mappings applied to different source regions. The consistency between regional artifacts is checked for discovering the image forgeries and locating the composition boundary. Extensive experiments have verified the effectiveness and efficacy of the proposed techniques.
机译：作为修饰操作，对比度增强通常用于调整数字图像的整体亮度和对比度。恶意用户还可能在本地执行对比度增强，以创建逼真的合成图像。因此，为了验证数字图像的原创性和真实性，盲目地检测对比度增强是很重要的。在本文中，我们提出了两种新颖的算法来检测数字图像中涉及对比度增强的操作。首先，我们专注于检测应用于以前的JPEG压缩图像的全局对比度增强，该图像在实际应用中非常普遍。理论上分析了由JPEG压缩和像素值映射引起的直方图峰/隙伪像，并通过识别零高度间隙指纹来区分直方图。其次，我们建议识别通过对一个或两个源区域执行对比度调整来创建的合成图像。对检测到的块状峰/隙仓的位置进行聚类，以识别应用于不同源区域的对比度增强映射。检查区域伪影之间的一致性，以发现图像伪造并找到构图边界。大量的实验已经验证了所提出技术的有效性和有效性。

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