DOI: 10.3724/SP.J.1089.2010.11102

Journal of Computer-Aided Design & Computer Graphics (计算机辅助设计与图形学学报) 2010/22:9 PP.1613-1618

Discrimination between Natural Images and Photorealistic Computer Graphics Using Second-Order Difference Statistics

In this paper, a new discrimination method using second-order difference statistics is proposed which is designed to distinguish natural images from photorealistic computer graphics. Firstly, the second-order difference signals and predicting error signals of both original and calibrated images are extracted in the HSV color space, and then the variance and kurtosis of second-order difference signals and the first four order statistics of predicting error signals are extracted to be used as distinguishing features, the Fisher linear discriminant analysis is used to construct a classifier to do the differentiating job. Experimental results show that the proposed method exhibits excellent performance for the discrimination between natural images and computer graphics, outperforms previous proposed methods with a low computational complexity.

Key words:image forensics,second-order difference,predicting error,calibration,linear discriminant analysis

ReleaseDate:2014-07-21 15:25:49

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