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一种基于模式噪声的视频抠像检测算法
引用本文:郭琳琳,张静,苏育挺. 一种基于模式噪声的视频抠像检测算法[J]. 四川大学学报(自然科学版), 2011, 48(4): 777-782. DOI: 10.3969/j.issn.0490-6756.2011.04.011
作者姓名:郭琳琳  张静  苏育挺
作者单位:天津大学电子信息工程学院,天津,300072
基金项目:天津市自然科学基金项目(09JCYBJC00900)
摘    要:蓝屏抠像技术是一种常用的视频篡改手段,为实现对其有效检测,本文提出一种基于模式噪声的数字视频抠像检测算法.算法基于成像传感器的像素不均匀性,采用了小波滤波器提取视频帧中相对稳定的残留噪声,并利用对多帧残留噪声取平均值的办法,获取视频的模式噪声.通过分析抠像视频与正常视频的模式噪声的频谱差异,实现对抠像视频的检测.实验结果表明,该算法的可行性和有效性.

关 键 词:数字取证;视频抠像;模式噪声

A chroma keying video forgery detection algorithm based on sensor noise
GUO Lin-Lin,ZHANG Jing,SU Yu-Ting. A chroma keying video forgery detection algorithm based on sensor noise[J]. Journal of Sichuan University (Natural Science Edition), 2011, 48(4): 777-782. DOI: 10.3969/j.issn.0490-6756.2011.04.011
Authors:GUO Lin-Lin  ZHANG Jing  SU Yu-Ting
Abstract:In order to identify the keying tampering in the video, an algorithm of digital video forensics based on the pattern noise is proposed. Each digital camera contains relatively stable residual noise due to the imperfection of imaging sensors. After deriving residual noise from each frame through wavelet filtering, a reference pattern of noise for a digital camera is extracted by averaging the residual noise from each video frame. Chroma keying video forgery can be exposed in the Fourier transform domain by the difference between the noise pattern of the original video and that of the forged video. Experiment results show the feasibility and effectiveness of the proposed method.
Keywords:digital forensics   video keying   pattern noise
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