摘要
借助于先进的数码摄影技术和数字图像处理软件,数字图像比传统图像更容易篡改和伪造,伪造数字图像现象不仅很普遍,而且在新闻界、娱乐界、学术界和法律界都产生了非常坏的影响。而仅凭人眼视觉难以对数字图像的真实性进行检测和鉴别,借助于计算机强大的处理能力对数字图像的真实性进行检测是当前研究的一大热点。从统计学、传感器噪声模式、彩色滤镜矩阵偏差、透视几何、光照分析等几个方面介绍了被动式数字图像真实性检测这一研究领域当前研究进展,并提出了当前这一领域的不足之处和未来发展方向。
With the aid of advanced digital cameras and sophisticated digital image processing software,digital images can be more easily manipulated and altered than traditional images.Now digital forgeries are widely used,and take very bad effects on news community,entertainment world,academic community and law circle.But people cannot check the authenticity of digital images by naked eyes,so nowadays digital images authenticity check with powerful computer has become hot investigation.This paper presents recent advances in passive digital images authenticity check from statistical techniques,camera＇s sensor noise pattern,color filter array aberrations,perspective geometric and lighting analysis,also gives disadvantages of these techniques and predict some ways of future developing.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第26期1-4,共4页
Computer Engineering and Applications
基金
浙江省教育厅科研项目(No.Y20070577)
关键词
数字图像真实性
噪声模式
彩色滤镜矩阵偏差
光照分析
透视几何
digital images authenticity
noise pattern
color filter array aberrations
lighting analysis
perspective geometric
