Abstract
In this paper, we propose a passive scheme for photorealistic computer generated image (PRCG) identification and device brand classification. To this end, a periodic phenomenon of variance of pixel values resulting from demosaicing process is analyzed in RGB color space. Based on the phenomenon, the proposed scheme is composed of color space transformation, high-pass filtering, feature extraction, and classification. To make the phenomenon obvious, a high-pass filter is performed. The periodic phenomenons in different directions are measured as features in the Fourier domain and combined with a hierarchical classifier for PRCG detection and brand identification simultaneously. Experimental results show that our proposed scheme can not only detect photographic images (PIM) but also determine what brand of a camera is used.
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© 2013 Springer-Verlag Berlin Heidelberg
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Chang, TY., Lin, GS., Tai, SC. (2013). Identifying Device Brand by Using Characteristics of Color Filter Array. In: Pan, JS., Yang, CN., Lin, CC. (eds) Advances in Intelligent Systems and Applications - Volume 2. Smart Innovation, Systems and Technologies, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35473-1_35
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DOI: https://doi.org/10.1007/978-3-642-35473-1_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35472-4
Online ISBN: 978-3-642-35473-1
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