| 数字图像被动取证技术综述 |
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| 引用本文： | 陈园园,于在河.数字图像被动取证技术综述[J].吉林大学学报(信息科学版),2014,32(6):689-698. |
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| 作者姓名： | 陈园园 于在河 |
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| 作者单位： | 1. School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030000, China;2. School of Information Science and Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo 315000, China |
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| 摘 要： | 为确保图像内容的真实性和信息安全性, 阐述了数字图像被动取证技术的应用领域, 分析了典型的数字图像来源设备取证、 拼接取证、 复制粘贴取证、 人工模糊取证和JPEG（Joint Photographic Experts Group）压缩取证算法的思路和步骤, 简要对其性能和适用性进行评价, 并对被动取证技术今后的技术路线和发展方向进行了展望。
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| 关 键 词： | 数字图像 被动取证 来源设备 拼接 复制-粘贴 人工模糊 JPEG压缩 |
| 收稿时间： | 2014-04-02 |
Survey on Passive Forensics Techniques for Digital Images |
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| CHEN Yuanyuan,YU Zaihe.Survey on Passive Forensics Techniques for Digital Images[J].Journal of Jilin University:Information Sci Ed,2014,32(6):689-698. |
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| Authors: | CHEN Yuanyuan YU Zaihe |
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| Institution: | CHEN Yuanyuan, YU Zaihe ( 1. School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030000, China; 2. School of Information Science and Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo 315000, China) |
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| Abstract: | To ensure the authenticity and information safety of the image content, application areas of passive forensics techniques are stated. The ideas and main steps of some typical algorithms for digital image source device detection, splicing detection, copy-paste detection, blur detection and JPEG （Joint Photographic Experts Group） compression detection have been analyzed. The algorithm performance and feasibility have been briefly evaluated, and the future technical route and development direction of passive forensics techniques are prospected. |
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| Keywords: | digital image passive forensics source device splicing copy-paste artificial blur joint photographic experts group(JPEG) compression |
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