利用模式噪声主分量信息的源相机辨识技术  

Source camera identification technique using large components of imaging sensor pattern noise

作　　者：胡永健[1] 俞兵华[2] 简超[2] 

机构地区：[1]华南理工大学电子与信息学院,广州510641 [2]华南理工大学自动化科学与工程学院,广州510641

出　　处：《计算机应用》2010年第1期31-35,共5页journal of Computer Applications

基　　金：国家自然科学基金资助项目(6077211560572140)

摘　　要：针对数码相机源辨识问题,提出一种利用成像传感器模式噪声主要分量(或称大分量)信息进行源设备辨识的新方法。首先围绕模式噪声的抽取和预处理,讨论去噪滤波器和去颜色滤波器阵列(CFA)插值对提高模式噪声质量的影响,然后重点讨论选取传感器模式噪声部分大分量对改善相关性检测器性能的作用。该方法不仅能很好地分离两台相机所拍摄的照片,而且还大幅度减小了检测的计算量。A new method for source camera identification was proposed based on using large components of imaging sensor pattern noise. Concerning the extraction and pre-processing of pattern noise, this paper discussed how the de-noising filter and the de-CFA interpolation operation could improve the quality of pattern noise. Afterwards, focus was made on why and how the use of large components of the sensor pattern noise could improve the performance of the correlation-based detector. The proposed method can not only separate the data obtained from two cameras well, but also greatly decrease the computational load for detection.

关 键 词：数字图像取证 源相机辨识 成像传感器 模式噪声 相关性检测 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]