基于小波高阶统计量的数字图像来源取证方法

王志红; 黄惠芬

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基于小波高阶统计量的数字图像来源取证方法
王志红¹, 黄惠芬^2,3
1.山东英才学院，济南 250104;2.1.山东英才学院，济南 250104;3.2.山东大学，济南 250100

摘要:

目的为了识别图像来源于相机还是其他电子设备，提出一种基于小波高阶统计量的图像来源取证方法。方法利用生成途径对图像性质的影响和数理统计方法，通过对比不同来源的数字图像的生成途径对它们各自性质的影响，从图像的多尺度分析角度，研究不同来源的图像在变换域所呈现的独有特性，提取数字图像小波域的高阶统计特征，以此判断图像的来源。结果实验结果表明，针对计算机软件、数码相机和扫描仪这3类图像的平均测试正确率达到了97.9%。结论该方法在确定图像来源上有较高的效率和准确率。

关键词: 高阶统计特征提取小波识别

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基金项目:国家自然科学基金（61402271）；山东省自然科学基金（ZR2015JL023）；山东省自然科学基金（ZR2016FM34）；山东省重点研发项目（2015GGX101012）；山东省重点研发项目（2016GGX101037）

Forensic Method of Digital Image Source Based on Wavelet Higher-order Statistics

WANG Zhi-hong¹, HUANG Hui-fen^2,3

1.Shandong Yingcai University, Jinan 250104, China;2.1.Shandong Yingcai University, Jinan 250104, China;3.2.Shandong University, Jinan 250100, China

Abstract:

The work aims to propose an image source forensic method based on the wavelet higher-order statistics, in order to identify whether the image is from a camera or other electronic devices. Based on the influence of the generation path on the image properties and the mathematical statistics, and by comparing the influence of the generation path of the digital images from different sources on their respective property, the unique properties of images from different sources in transform domain were studied from the perspective of multi-scale analysis of the image. The high-order statistical characteristics of the wavelet domain in the digital image were extracted to determine the source of the image. The experimental results showed that the average test accuracy rate was up to 97.9% for the three kinds of images from the computer software, digital cameras and scanners. The proposed method has higher efficiency and accuracy in determining the source of the image.

Key words: high-order statistics extraction of characteristics wavelet recognition