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基于模式噪声的数字视频篡改取证
作者单位:南京理工大学自动化学院
摘    要:为了实现视频信号的真实性鉴别,提出一种基于模式噪声的数字视频篡改检测算法.由于成像传感器的非理想性,每一种数码摄像机都会输出一种相对稳定的残留噪声,通过维纳小波滤波器从视频的每一帧中提取这一噪声,将一段视频中的每帧噪声取平均值,从而建立模式噪声.当一段视频遭受篡改处理时,通过比较待鉴别帧的噪声与模式噪声之间的相关性,利用实验经验阈值判断,定位篡改区域.实验结果证明该方法能够对视频篡改进行有效的检测.

关 键 词:视频篡改  数字取证  模式噪声  去噪  匹配

Detection of forgery in digital video based on pattern noise
Authors:Wang Junwen Liu Guangjie Zhang Zhan Wang Zhiquan Dai Yuewei
Abstract:In order to identify the authenticity of the video,the algorithm for 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 Wiener wavelet filtering,a reference pattern of noise for a digital camera is extracted by averaging the residual noise from each video frame.When a video is tampered,by comparing the correlation between the residual noise of the frame to be detected and the reference pattern,the region of forgery can be located with a predetermined experimental experience threshold.Experiments demonstrate the effectiveness of the proposed method.
Keywords:video forgery  digital forensics  pattern noise  denoising  matching
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