利用通道间相关性的CFA图像盲取证  

Forgery Detection via Inter-channel Correlation of CFA Images

作　　者：张晓琳[1] 方针[1] 张新鹏[1] 

机构地区：[1]上海大学通信与信息工程学院,上海200444

出　　处：《应用科学学报》2015年第1期87-94,共8页Journal of Applied Sciences

基　　金：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资助

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.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.

关 键 词：篡改检测 图像取证 CFA插值 通道间相关性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]