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图像伪造中模糊操作的异常色调率取证技术 被引量:39

Image Forensics Technology Using Abnormity of Local Hue for Blur Detection
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摘要 数字图像取证技术是对图像的完整性和真实性进行鉴别.通过分析由成像系统形成的局部色彩相关性,利用成像系统和模糊操作在数字图像局部色彩属性的差异,定义数字图像异常色调集合和异常色调率的概念,提出了一种基于异常色调率的数字图像取证技术.实验表明,该方法能够有效地检测出对数码相机拍摄图像进行模糊操作的痕迹,并能够对经过模糊操作的图像局部进行准确判断. Digital image forensics aims to distinguish the forgeries from the authentic images. In order to detect blurting, which can reveal the trace of tampering, we analyze the local color correlation and consistency caused by image acquisition devices. We find that blurting can distort the intrinsic local color correlation and consistency of legitimate images. Therefore, we define the abnormity of local color property as rate of abnormal hue, of which we then develop a forensics method to detect blurring. Experimental results show that this method can detect possible blurting in images acquired from digital cameras and locate the possible tampering regions with a relative high accurate rate in detection and location.
出处 《电子学报》 EI CAS CSCD 北大核心 2006年第B12期2451-2454,共4页 Acta Electronica Sinica
基金 国家自然科学基金(No.60572111)
关键词 图像取证 模糊操作 色彩属性 异常色调率 image forensics blur color property rate of abnormal hue
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参考文献8

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