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Identifying photographic images and photorealistic computer graphics using multifractal spectrum features of PRNU | IEEE Conference Publication | IEEE Xplore

Identifying photographic images and photorealistic computer graphics using multifractal spectrum features of PRNU


Abstract:

A novel identification approach for identifying photographic images (PIM) and photorealistic computer graphics (PRCG) is proposed by using multifractal spectrum features ...Show More

Abstract:

A novel identification approach for identifying photographic images (PIM) and photorealistic computer graphics (PRCG) is proposed by using multifractal spectrum features of photo response non-uniformity noise (PRNU). 8 dimensions of mul-tifractal spectrum features of PRNU are extracted to represent the subtle differences between them, and the identification is carried out by using a support vector machine (SVM) classifier. Experimental results and analysis indicate that the proposed method can achieve an average identification accuracy of 98.99%, and has good performance in the ratios between training samples and testing samples. Besides, it is robust against some manipulations such as adding noise, JPEG compression and motion blur.
Date of Conference: 14-18 July 2014
Date Added to IEEE Xplore: 08 September 2014
Electronic ISBN:978-1-4799-4761-4

ISSN Information:

Conference Location: Chengdu, China

References

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