Anti-forensics of contrast enhancement in digital images
Anti-forensics of contrast enhancement in digital images
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DOI：
10.1145/1854229.1854237
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发表时间：
2010-09
影响因子：
6.2
通讯作者：
Gang Cao;Yao Zhao;R. Ni;Huawei Tian
中科院分区：
文献类型：
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作者：
Gang Cao;Yao Zhao;R. Ni;Huawei Tian
数字图像对比度增强的盲检测已经引起了法医分析人员的广泛关注。本文基于像素灰度直方图的峰值间隙伪影，提出了现有对比度增强检测器无法检测到的对比度增强算子的新变体。将局部随机抖动引入到对比度增强映射的设计中，以消除这种伪影。通过在不同参数设置的大型图像库上的实验结果，验证了所提出的反取证方案的有效性。通过与传统对比度增强的比较来评估可检测性和所产生的图像质量。开发的反法医技术可以验证现有对比度增强法医工具对抗复杂攻击者的可靠性，并作为开发更可靠和安全的法医技术的目标。
The blind detection of contrast enhancement in digital images has attracted much attention of the forensic analyzers. In this paper, we propose new variants of contrast enhancement operators which are undetectable by the existing contrast enhancement detectors based on the peak-gap artifacts of the pixel graylevel histogram. Local random dithering is introduced into the design of contrast enhancement mapping for removing such artifacts. Effectiveness of the proposed anti-forensic scheme is validated by experimental results on a large image database for various parameter settings. Both detectability and the resulting image quality are evaluated via comparison with the traditional contrast enhancement. The developed anti-forensic techniques could verify the reliability of existing contrast enhancement forensic tools against sophisticated attackers and serve as the targets for developing more reliable and secure forensic techniques.