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论文:2012,Vol:30,Issue(4):612-616 |
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引用本文： |
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李杭, 郑江滨. 一种人工模糊的伪造图像盲检测方法[J]. 西北工业大学 |
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Li Hang, Zheng Jiangbin. An Useful Blind Detection Method of Digital Forgery Image of Artificial Blur[J]. Northwestern polytechnical university |
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| 一种人工模糊的伪造图像盲检测方法 |
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| 李杭, 郑江滨 |
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| 西北工业大学 计算机学院,陕西 西安 710072 |
| 摘要: |
| 针对模糊操作常常用来掩饰伪造拼接合成图像的拼接边缘但使边缘宽度增大的特点,提出了一种基于边缘宽度的伪造图像检测方法,该方法通过确定图像的边缘像素,计算边缘的宽度,去除较细边缘保留宽边缘等手段确定伪造数字图像的篡改区域。经实验验证,文中方法能有效地检测出伪造图像中经过模糊操作的边缘,从而确定伪造区域。 |
| 关键词:
伪造图像
人工模糊
边缘宽度
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| An Useful Blind Detection Method of Digital Forgery Image of Artificial Blur |
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| Li Hang, Zheng Jiangbin |
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| Department of Computer Science and Engineering,Northwestern Polytechnical University,Xi'an 710072,China |
| Abstract: |
| Sections 1 through 3 of the full paper explain the blind detection method mentioned in the title，whichwe believe is novel and useful and whose core consists of: “Artificial blurring operation is generally used to concealthe combination edge of the image; blurring naturally brings along changes in the features of the edge. We analyzedthe characteristics of the blurred edges and defined the width of edge. A novel method based on the edge width ofblind detection is proposed to detect the forged digital images; the proposed method finds the edge pixels，calcu-lates the variation of edge width，and eliminates original thin edges to detect the forgery areas. "The results of ex-periments，presented in Figs 4 through 7, and their analysis demonstrate preliminarily that the proposed method candetect the artificially blurred edge of digital image except for special cases and is therefore useful for locating theforgery areas. |
| Key words:
algorithms
calculations
experiments
image fusion
pixels;artificial blur
edge width
forged image
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| 收稿日期: 2011-09-20
修回日期:
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| DOI: |
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Email： |
| 作者简介: 李杭(1976-),西北工业大学博士研究生,主要从事数字图像处理与计算机视觉研究。
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| 作者相关文章 |
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| 李杭 在本刊中的所有文章 |
| 郑江滨 在本刊中的所有文章 |
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参考文献: |
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[1] Popescu A C，Farid H. Statistical Tools for Digital Forensics. 6th International Workshop on Information Hiding. Toronto，Can-ada, 2004
[2] Farid H. Exposing Digital Forgery from JPEG Ghosts. IEEE Trans on Information Forensic and Security, 2009, 4(1): 154-160
[3] 李 哲, 郑江滨. 基于噪声分布规律的创造图像盲检测算法. 计算机应用研究, 2009, 26(3):1092-1094Li Zhe，Zheng Jiangbin. Blind Detection of Digital Forgery Image Based on Distribution of Noise. Application Research of Com-puters, 2009, 26(3): 1092-1094 (in Chinese)
[4] 李 哲, 郑江滨. 基于边缘特征的创造图像盲检测算法. 西北工业大学学报, 2009, 27(5):731-734Li Zhe，Zheng Jiangbin. A Novel Method of Blind Detection of Digitally Forged Image. Journal of Northwestern Polytechnical U-niversity, 2009, 27(5): 731-734 (in Chinese)
[5] Li Zhe，Zheng Jiangbin. Blind Detection of Digital Forgery Image Based on the Local Entropy of the Gradient. IWDW 2008，LNCS 5450, 2009, 161-169
[6] Zhen Jiangbin, Liu Miao. A Digital Forgery Image Detection Algorithm Based on Wavelet Homomorphic Filtering. IWDW 2008，LNCS 5450, 2009, 152-160
[7] 周琳娜, 王东明, 郭云彪, 杨义先. 基于数字图像边缘特性的形态学滤波取证技术. 电子学报, 2008, 36(6):1047-1051Zhou Linna，Wang Dongming, Guo Yunbiao, Yang Yixian. Exposing Digital Forgeries by Detecting Image Blurred MathematicalMorphology Edge. Acta Electronica Sinica, 2008, 36(6): 1047-1051 (in Chinese)
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