Source cell phone camera identification based on singular value decomposition

Micro and macro statistical features based on Singular Value Decomposition (SVD) have been proposed for source cell-phone identification. The performance of the proposed features is evaluated with nai¿ve and informed classifiers for the identification of original images as well as images under several manipulations. The results have been compared to the state-of-the-art and it has been observed that SVD based features are comparable to their counterparts in the literature at reduced complexity.

[1]  Miroslav Goljan,et al.  Digital camera identification from sensor pattern noise , 2006, IEEE Transactions on Information Forensics and Security.

[2]  Husrev T. Sencar,et al.  Overview of State-of-the-Art in Digital Image Forensics , 2007 .

[3]  Edmund Y Lam,et al.  Automatic source camera identification using the intrinsic lens radial distortion. , 2006, Optics express.

[4]  Josef Kittler,et al.  Floating search methods in feature selection , 1994, Pattern Recognit. Lett..

[5]  Min-Jen Tsai,et al.  Camera/Mobile Phone Source Identification for Digital Forensics , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[6]  E. Delp,et al.  Security, steganography, and watermarking of multimedia contents , 2004 .

[7]  Ismail Avcibas,et al.  Steganalytic Features for JPEG Compression-Based Perturbed Quantization , 2007, IEEE Signal Processing Letters.

[8]  Kevin E. Spaulding,et al.  Color processing in digital cameras , 1998, IEEE Micro.

[9]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[10]  Yizhen Huang,et al.  Image Based Source Camera Identification using Demosaicking , 2006, 2006 IEEE Workshop on Multimedia Signal Processing.

[11]  Nasir D. Memon,et al.  Steganalysis using image quality metrics , 2003, IEEE Trans. Image Process..

[12]  Nasir D. Memon,et al.  Image Steganalysis with Binary Similarity Measures , 2005, EURASIP J. Adv. Signal Process..

[13]  Bülent Sankur,et al.  Blind identification of cellular phone cameras , 2007, Electronic Imaging.

[14]  Nasir D. Memon,et al.  Blind source camera identification , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[15]  Siwei Lyu,et al.  Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines , 2002, Information Hiding.

[16]  Bülent Sankur,et al.  Blind Identification of Source Cell-Phone Model , 2008, IEEE Transactions on Information Forensics and Security.

[17]  Husrev T. Sencar,et al.  Source Camera Identification Based on Sensor Dust Characteristics , 2007 .