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论文类型：会议论文

发表时间：2009-01-01

收录刊物：CPCI-S

卷号：306

页面范围：107-+

关键字：Camera identification; CFA interpolation; support vector machine

摘要：Source camera identification is an important branch of image forensics. This paper describes a novel method for determining image origin based on color filter array (CFA) interpolation coefficient estimation. To reduce the perturbations introduced by a double JPEG compression, a co-variance matrix is used to estimate the CFA interpolation coefficients. The classifier incorporates a combination of one-class and multi-class support vector machines to identify camera models as well as outliers that are not in the training set. Classification experiments demonstrate that the method is both accurate and robust for double-compressed JPEG images.