A watermarking-based medical image integrity control system and an image moment signature for tampering characterization

IEEE Journal of Biomedical and Health Informatics

Volumn 17, Issue 6, 2013, Pages 1057-1067

  Coatrieux, Gouenou ^a   Huang, Hui ^a,b   Shu, Huazhong ^c   Luo, Limin ^c   Roux, Christian ^a  

^a ECOLE DES MINES DE NANTES   (France)

^b SHANGHAI ADVANCED RESEARCH INSTITUTE   (China)

^c SOUTHEAST UNIVERSITY   (China)

Author keywords

Cryptographic hash; Image moment; Integrity control; Medical imaging; Watermarking

Indexed keywords

CRYPTOGRAPHY; DIGITAL WATERMARKING; IMAGE WATERMARKING; MAGNETIC RESONANCE IMAGING; PIXELS; PRINTING MACHINERY; WATERMARKING;

CRYPTOGRAPHIC HASH; GEOMETRIC MOMENT; GLOBAL PROCESSING; IMAGE INTEGRITY; IMAGE MOMENTS; INTEGRITY ANALYSIS; INTEGRITY CONTROL; LOSSY COMPRESSIONS;

MEDICAL IMAGING;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING;

DIAGNOSTIC IMAGING; IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 84888331097     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2263533     Document Type: Article

References (47)

1. G. Coatrieux, H. Maitre, B. Sankur, Y. Rolland, and R. Collorec, "Relevance of watermarking in medical imaging," in Proc. IEEE EMBS Int. Conf. Inf. Technol. Appl. Biomed., 2000, pp. 250-255. (Pubitemid 32302628)
2. L. Kobayashi and S. Furuie, "Proposal for DICOM multiframe medical image integrity and authenticity," J. Digital Imag., vol. 22, no. 1, pp. 71-83, 2009.
3. M. T. Madsen, K. S. Berbaum, A. N. Ellingson, B. H. Thompson, B. F. Mullan, and R. T. Caldwell, "A new software tool for removing, storing, and adding abnormalities to medical images for perception research studies," Academic Radiol., vol. 13, no. 3, pp. 305-312, 2006. (Pubitemid 43247850)
4. K. Chen and T. V. Ramabadran, "Near-lossless compression of medical images through entropy coded DPCM," IEEE Trans. Med. Imag., vol. 13, no. 3, pp. 538-548, Sep. 1994.
5. E. R. Ritenour and A. D. A. Maidment, "Lossy compression should not be used in certain imaging applications such as chest radiography," Med. Phys., vol. 26, pp. 1773-1775, 1999. (Pubitemid 29442257)
6. G. Coatrieux, "Contribution à la sécurité d'images médicales par tatouage," Ph.D. dissertation, Université de Rennes 1, Rennes, France, 2002.
7. B. Schneier, Applied Cryptography: Protocols, Algorithms, and Source Code in C. Hoboken, NJ, USA: Wiley, 1996.
8. B. Preneel, "MACs and hash functions: State of the art," Inf. Security Tech. Report, vol. 2, no. 2, pp. 33-43, 1997. (Pubitemid 127412875)
9. X. Guo and T. Zhuang, "Lossless watermarking for verifying the integrity of medical images with tamper localization," J. Digital Imag., vol. 22, no. 6, pp. 620-628, 2009.
10. H. Farid, "Image forgery detection," IEEE Signal Process. Mag., vol. 26, no. 2, pp. 16-25, Mar. 2009.
11. C. Li and L. Liu, "An image authentication scheme with localization and recovery," in Proc. Int. Conf. Image Signal Proc., 2008, vol. 5, pp. 669-673.
12. H. Yang and A. C. Kot, "Binary image authentication with tampering localization by embedding cryptographic signature and block identifier," IEEE Signal Process. Lett., vol. 13, no. 12, pp. 741-744, Dec. 2006. (Pubitemid 46405580)
13. G. Coatrieux, H. Maitre, andB. Sankur, "Strict integrity control of biomedical images," in Proc. SPIE Security Watermarking Multimedia Contents III, 2001, vol. 4314, pp. 229-240. (Pubitemid 33012240)
14. M. P. Queluz, "Authentication of digital images and video:Generic models and a new contribution," Signal Process.: Image Commun., vol. 16, no. 5, pp. 461-475, Jan. 2001. (Pubitemid 34771334)
15. X. Qi and J. Qi, "A robust content-based digital image watermarking scheme," Signal Process., vol. 87, no. 6, pp. 1264-1280, Jun. 2007. (Pubitemid 46282985)
16. E. Mwangi, "A geometric attack resistant image watermarking scheme based on invariant centroids," in Proc. IEEE Int. Symp. Signal Proc. Inf. Tech., 2007, pp. 190-193.
17. A. Giakoumaki, S. Pavlopoulos, and D. Koutsouris, "A medical image watermarking scheme based on wavelet transform," in Proc. IEEE Int. Conf.Eng. Med. Biol. Soc., 2003, vol. 1, pp. 856-859.
18. G. Coatrieux, C. Le Guillou, J. M. Cauvin, and C. Roux, "Reversible watermarking for knowledge digest embedding and reliability control in medical images," IEEE Trans. Inf. Technol. Biomed., vol. 13, no. 2, pp. 158-165, Mar. 2009.
19. A. Wakatani, "Digital watermarking for ROI medical images by using compressed signature image," in Proc. IEEE Annu. Hawaii Int. Conf. Syst. Sci., 2002, pp. 2043-2048.
20. H-K. Lee, H-J. Kim, K-R. Kwon, and J-K. Lee, "Digital watermarking of medical image using ROI information," in Proc. IEEE Int. Workshop Healthcom, 2005, pp. 404-407.
21. K-H. Chiang, K-C. Chang-Chien, R-F. Chang, and H-Y. Yen, "Tamper detection and restoring system for medical images using wavelet-based reversible data embedding," J. Digital Imag., vol. 21, no. 1, pp. 77-90, Mar. 2008. (Pubitemid 351326297)
22. X. Zhao, A. T. S. Ho, H. Treharne, V. Pankajakshan, C. Culnane, and W. Jiang, "A novel semi-fragile image watermarking, authentication and self-restoration technique using the slant transform," in Proc. Int. Conf. Intel. Inf. Hiding Multimedia Signal Process., 2007, vol. 1, pp. 283-286.
23. R. Chamlawi, I. Usman, and A. Khan, "Dual watermarking method for secure image authentication and recovery," in Proc. IEEE 13th Int. Multitopic Conf., 2009, pp. 1-4.
24. H-J. He, J-S. Zhang, and H-M. Tai, "Self-recovery fragile watermarking using block-neighborhood tampering characterization," in Proc. Inf. Hiding, 2009, pp. 132-145.
25. O. M. Al-Qershi and B. E. Khoo, "Authentication and data hiding using a hybrid ROI-based watermarking scheme for DICOM images," J. Digit Imag., vol. 1, no. 24, pp. 114-25, 2011.
26. M. Tagliasacchi, G. Valenzise, and S. Tubaro, "Hash-based identification of sparse image tampering," IEEE Trans. Imag. Process., vol. 18, no. 11, pp. 2491-2504, Nov. 2009.
27. I. Avcibas, S. Bayram, N. Memon, M. Ramkumar, and B. Sankur, "A classifier design for detecting image manipulations," in Proc. IEEE Int. Conf. Imag. Process., 2004, vol. 4, pp. 2645-2648. (Pubitemid 40820438)
28. H. Farid and S. Lyu, "Higher-order wavelet statistics and their application to digital forensics," in Proc. Int. Conf. Comput. Vision Pattern Recognit., 2003, vol. 8, p. 94.
29. S. Bayram, I. Avcibas, B. Sankur, and N. Memon, "Image manipulation detection," J. Electron. Imag., vol. 15, no. 4, pp. 041102-1-041102-17, Oct. 2006.
30. H. Huang, G. Coatrieux, H. Shu, L. Luo, and Ch. Roux, "Blind integrity verification ofmedical images," IEEE Trans. Inf. Technol. Biomed., vol. 16, no. 6, pp. 1122-1126, Nov. 2012.
31. A. Giakoumaki, S. Pavlopoulos, and D. Koutsouris, "Multiple image watermarking applied to health information management," IEEE Trans. Inf. Technol. Biomed., vol. 10, no. 4, pp. 722-732, Oct. 2006. (Pubitemid 44604902)
32. H. Huang, G. Coatrieux, H. Z. Shu, L. M. Luo, and C. Roux, "Medical image tamper approximation based on an image moment signature," in Proc. Int. Conf. Healthcom, 2010, pp. 254-259.
33. G. Coatrieux, J. Montagner, H. Huang, and C. Roux, "Mixed reversible andRONIwatermarking for medical image reliability protection," in Proc. 29th Int. Conf. IEEE Eng. Med. Biol. Soc., 2007, pp. 5653-5656.
34. G. Coatrieux, H. Mâitre, and Y. Rolland, "Tatouage d'images médicales : Perception d'une marque," in Proc. Int. Conf. Sci. Electron. Technol. Inf. Telecommun., 2003.
35. S. Lin and D. J. Costello, Error Control Coding: Fundamentals and Applications. Noida, India: Pearson Education.
36. A. Leon-Garcia, Probability and Random Processes for Electrical Engineering. Reading, MA, USA: Addison-Wesley, 1994.
37. M-K. Hu, "Visual pattern recognition by moment invariants," IRE Trans. Inf. Theory, vol. 8, no. 2, pp. 179-187, 1962.
38. R. J. Prokop and A. P. Reeves, "A survey of moment-based techniques for unoccluded object representation and recognition," J. CVGIP: Graphical Models Imag. Process., vol. 54, no. 5, pp. 438-460, 1992. (Pubitemid 23379858)
39. D. R. Mukundan, K. R. Rao, and K. R. Ramakrishnan, Moment Functions in Image Analysis. Singapore: World Scientific, 1998.
40. U. H. Kressel, "Pairwise classification and support vector machines," in Advances in Kernel Methods. Cambridge, MA, USA: MIT Press, 1999, pp. 255-268.
41. L. Wang, Support Vector Machines: Theory and Applications. New York, NY, USA: Springer, 2005.
42. B. Xu, J. Wang, X. Liu, and Z. Zhang, "Passive steganalysis using image quality metrics andmulti-class support vectormachine," in Proc. Int.Conf. Natural Comput., vol. 3, Los Alamitos, CA, USA, 2007, pp. 215-220.
43. D. Fu, Y. Q. Shi, and W. Su, "Detection of image splicing based on Hilbert-Huang transform and moments of characteristic functions with wavelet decomposition," Digital Watermarking, vol. 4283, pp. 177-187, 2006. (Pubitemid 44891635)
44. D. J. Sebald and J. A. Bucklew, "Support vector machine techniques for nonlinear equalization," IEEE Trans. Signal Process., vol. 48, no. 11, pp. 3217-3226, Nov. 2000. (Pubitemid 32027347)
45. G. Quellec, S. R. Russell, andM. D. Abramoff, "Optimal filter framework for automated, instantaneous detection of lesions in retinal images," IEEE Trans. Med. Imag., vol. 30, no. 2, pp. 523-533, Feb. 2011.
46. A. Criminisi, P. Perez, and K. Toyama, "Region filling and object removal by exemplar-based image inpainting," IEEE Trans. Image Process., vol. 13, no. 9, pp. 1200-1212, Sep. 2004.
47. G. Beer, "Topological completeness of function spaces arising in the Hausdorff approximation of functions," Can. Math. Bull., vol. 35, pp. 439-448, 1992.