Detection of nonaligned double JPEG compression based on integer periodicity maps

IEEE Transactions on Information Forensics and Security

Volumn 7, Issue 2, 2012, Pages 842-848

  Bianchi, Tiziano ^a   Piva, Alessandro ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Image forensics; JPEG artifacts; nonaligned double JPEG compression; threshold detector

Indexed keywords

DISCRETE COSINE TRANSFORMS;

COMPRESSED IMAGES; DC COEFFICIENT; DISCRETE COSINE TRANSFORM COEFFICIENTS; IMAGE FORENSICS; JPEG ARTIFACTS; JPEG COMPRESSION; NONALIGNED DOUBLE JPEG COMPRESSIONS; THRESHOLD DETECTORS;

IMAGE COMPRESSION;

EID: 84858394859     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2011.2170836     Document Type: Article

References (14)

1. H. Farid, "A survey of image forgery detection," IEEE Signal Process. Mag., vol. 2, no. 26, pp. 16-25, 2009.
2. H. Farid, "Exposing digital forgeries from JPEG ghosts," IEEE Trans. Inform. Forensics Security, vol. 4, no. 1, pp. 154-160, Mar. 2009.
3. Z. Lin, J. He, X. Tang, and C.-K. Tang, "Fast, automatic and finegrained tampered JPEG image detection via DCT coefficient analysis," Pattern Recognition, vol. 42, no. 11, pp. 2492-2501, Nov. 2009.
4. D. Fu, Y. Q. Shi, and W. Su, "A generalized Benford's law for JPEG coefficients and its applications in image forensics," in Proc. SPIE, Security, Steganography, and Watermarking of Multimedia Contents IX, P. W. Wong and E. J. Delp, Eds., San Jose, CA, Jan. 2007, vol. 6505, pp. 1L1-1L11.
5. B. Li, Y. Shi, and J. Huang, "Detecting doubly compressed JPEG images by using mode based first digit features," in Proc. IEEE 10thWorkshop Multimedia Signal Processing, Oct. 2008, pp. 730-735.
6. W. Luo, Z. Qu, J. Huang, and G. Qui, "A novel method for detecting cropped and recompressed image block," in Proc. ICASSP 2007, 2007, vol. 2, pp. II-217-II-220.
7. Y.-L. Chen and C.-T. Hsu, "Image tampering detection by blocking periodicity analysis in JPEG compressed images," in Proc. IEEE 10th Workshop Multimedia Signal Processing, Oct. 2008, pp. 803-808.
8. Z. Qu, W. Luo, and J. Huang, "A convolutive mixing model for shifted double JPEG compression with application to passive image authentication," in Proc. ICASSP, 2008, pp. 1661-1664.
9. Y.-L. Chen and C.-T. Hsu, "Detecting recompression of JPEG images via periodicity analysis of compression artifacts for tampering detection," IEEE Trans. Inform. Forensics Security, vol. 6, no. 2, pp. 396-406, Jun. 2011.
10. M. Barni, A. Costanzo, and L. Sabatini, "Identification of cut & paste tampering by means of double-JPEG detection and image segmentation," in Proc. ISCAS, 2010, pp. 1687-1690.
11. J. Lukáš and J. Fridrich, "Estimation of primary quantization matrix in double compressed JPEG images," in Digital Forensic Res. Workshop, 2003.
12. C. Cortes and V. Vapnik, "Support-vector networks," Machine Learning, vol. 20, pp. 273-297, 1995.
13. H. He and E. A. Garcia, "Learning from imbalanced data," IEEE Trans. Knowledge Data Eng., vol. 21, no. 9, pp. 1263-1284, Sep. 2009.
14. P. Kang and S. Cho, "EUS SVMs: Ensemble of under-sampled SVMs for data imbalance problems," in Neural Information Processing, ser. Lecture Notes in Computer Science, I. King, J. Wang, L. Chan, and D. Wang, Eds. Berlin, Germany: Springer, 2006, vol. 4232, pp. 837-846.