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利用通道间相关性的CFA图像盲取证
引用本文: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.
作者姓名:张晓琳  方针  张新鹏
作者单位:上海大学通信与信息工程学院,上海200444
基金项目: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
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  
收稿时间:2014-12-02
修稿时间:2014-12-29

Forgery Detection via Inter-channel Correlation of CFA Images
ZHANG Xiao-lin,FANG Zhen,ZHANG Xin-peng.Forgery Detection via Inter-channel Correlation of CFA Images[J].Journal of Applied Sciences,2015,33(1):87-94.
Authors:ZHANG Xiao-lin  FANG Zhen  ZHANG Xin-peng
Institution:School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
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.
Keywords:forgery detection  image forensics  CFA interpolation  inter-channel correlation  
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