| 基于局部能量方差特性的数字图像取证 |
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| 引用本文： | 乔通,钱振兴,张新鹏,王文文. 基于局部能量方差特性的数字图像取证[J]. 模式识别与人工智能, 2012, 25(2): 280-284 |
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| 作者姓名： | 乔通 钱振兴 张新鹏 王文文 |
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| 作者单位： | 上海大学通信与信息工程学院上海200072 |
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| 基金项目： | 国家自然科学基金(No.61103181);上海市自然科学基金(No.11ZR1413200);上海市教委创新基金(No.11YZ10)资助项目 |
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| 摘 要： | 在数字图像取证领域，如何高效甄别自然图像和计算机生成图像受到越来越多的关注。文中介绍一种数字图像取证算法，通过傅里叶变换计算图像像素之间的相关性，并利用频域的局部抖动来区别照相机拍摄的自然图像和计算机生成的图像。同时提出对计算机生成图像采取插值处理和对自然图像进行缩放处理的反取证方法，并且分析这两种反取证技术的应对方法。与Gallagher等的方法相比，文中基于数字图像局部能量方差特性的取证准确率更高，且能有效抵抗图像的反取证。
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| 关 键 词： | 数字图像取证 计算机生成图像 反取证 局部能量方差 |
| 收稿时间： | 2011-05-05 |
Digital Image Forensics Based on Local Energy Variance Properties |
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| QIAO Tong , QIAN Zhen-Xing , ZHANG Xin-Peng , WANG Wen-Wen. Digital Image Forensics Based on Local Energy Variance Properties[J]. Pattern Recognition and Artificial Intelligence, 2012, 25(2): 280-284 |
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| Authors: | QIAO Tong QIAN Zhen-Xing ZHANG Xin-Peng WANG Wen-Wen |
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| Affiliation: | School of Communication and Information Engineering,Shanghai University,Shanghai 200072 |
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| Abstract: | How to identify photographic images and computer graphics efficiently is more and more important in image forensics.An authentication algorithm for digital images is proposed using the correlations between photographic images and computer graphics.The calculated local energy dithering in the frequency domain is used to distinguish photographic images and computer-generated images.Moreover,compared with Gallagher’s method,the proposed method is still available when both kinds of images above are attacked by CFA interpolation or zooming operation.The experimental results show that the proposed algorithm identifies better with the capability of anti-forensics resistance. |
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| Keywords: | Digital Image Forensics Computer Generated Image Anti-Forensics Local Energy Variance |
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