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应用科学学报 >

2015 , Vol. 33 >Issue 1: 87 - 94

DOI: https://doi.org/10.3969/j.issn.0255-8297.2015.01.010

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利用通道间相关性的CFA图像盲取证

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  • 上海大学通信与信息工程学院，上海200444

收稿日期: 2014-12-02

  修回日期: 2014-12-29

  网络出版日期: 2015-01-04

基金资助

国家自然科学基金（No.61472235）；教育部博士点基金（No.20113108110010）；上海市浦江人才计划基
金（No.13PJ1403200）；上海市东方学者专项

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Forgery Detection via Inter-channel Correlation of CFA Images

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  • School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China

Received date: 2014-12-02

  Revised date: 2014-12-29

  Online published: 2015-01-04

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摘要

数码相机大多采用单传感器通过颜色滤波阵列（color filter array, CFA）插值获取彩色图像. 为此, 利用通道间CFA 插值引入的频谱相关性鉴别图像真实性. 分析插值图像与自然图像的频谱差异，基于绿-红分量频谱差的高频区域提取取证特征；对待鉴定图像重新插值，根据重插值前后的取证特征变化检测图像篡改. 实验结果表明，该方法可以定位图像篡改且对JPEG 压缩有较强的鲁棒性.

关键词： 篡改检测; 图像取证; CFA插值; 通道间相关性

本文引用格式

张晓琳，方针，张新鹏 . 利用通道间相关性的CFA图像盲取证[J]. 应用科学学报, 2015 , 33(1) : 87 -94 . DOI: 10.3969/j.issn.0255-8297.2015.01.010

Abstract

Most digital cameras use a single sensor to capture only one component among the three colors (RGB) for each pixel, together with a color filter array (CFA) interpolating the other two after data acquisition. In this work, spectral correlation introduced by inter-channel CFA interpolation is exploited to realize image authentication. By analyzing differences in the frequency spectrum between inter-channel interpolated images and the natural ones, we extract forensics features from the high frequency areas of the green-red spectral difference. After re-interpolating the test image, we detect tampered images according to changes in the forensic features. Experimental results demonstrate effectiveness in forgery detection and robustness to JPEG compression.

Key words：  forgery detection; image forensics; CFA interpolation; inter-channel correlation

参考文献

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