Structural feature-based image hashing and similarity metric for tampering detection

Fundamenta Informaticae

Volumn 106, Issue 1, 2011, Pages 75-91

  Tang, Zhenjun ^a,b   Wang, Shuozhong ^a   Zhang, Xinpeng ^a   Wei, Weimin ^a  

^a SHANGHAI UNIVERSITY   (China)

^b GUANGXI NORMAL UNIVERSITY   (China)

Author keywords

content based image retrieval; image hashing; similarity metric; structural feature; tampering detection; watermarking

Indexed keywords

CONTENT BASED IMAGE RETRIEVAL; IMAGE HASHING; SIMILARITY METRIC; STRUCTURAL FEATURE; TAMPERING DETECTION;

CONTENT BASED RETRIEVAL;

WATERMARKING;

EID: 79951589603     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: 10.3233/FI-2011-377     Document Type: Article

References (19)

1. Zhang X., and Wang S.: Fragile watermarking with error-free restoration capability, IEEE Transactions on Multimedia, 2008, 10, (8), pp. 1490-1499.
2. Venkatesan R., Koon S.-M., Jakubowski M. H., and Moulin P.: Robust image hashing, Proc. of IEEE International Conference on Image Processing, Vancouver, BC, Canada, September 2000, pp. 664-666.
3. Meixner A., and Uhl A.: Analysis of a wavelet-based robust hash algorithm, Proc. SPIE-IS&T - Security, Steganography, and Watermarking of Multimedia Contents VI, San Jose, CA, January 2004, pp. 772-783.
4. Fridrich J., and Goljan M.: Robust hash functions for digital watermarking, Proc. of IEEE International Conference on Information Technology: Coding and Computing, Las Vergas, USA, March 2000, pp. 178-183.
5. Lin C. Y., and Chang S. F.: A robust image authentication system distinguishing JPEG compression from malicious manipulation, IEEE Transactions on Circuits System and Video Technology, 2001, 11, (2), pp. 153-168.
6. Lefebvre F., Macq B., and Legat J.-D.: RASH: Radon soft hash algorithm, Proc. of European Signal Processing Conference, Toulouse, France, September 2002, pp. 299-302.
7. Lefebvre F., Czyz J., and Macq B.: A robust soft hash algorithm for digital image signature, Proc. of IEEE International Conference on Image Processing, September 2003, pp. 495-498.
8. Kozat S. S., Mihcak K., and Venkatesan R.: Robust perceptual image hashing via matrix invariants, Proc. of IEEE International Conference on Image Processing, Singapore, October 2004, pp. 3443-3446. (Pubitemid 40820815)
9. Roover C. D., Vleeschouwer C. D., Lefebvre F., and Macq B.: Robust video hashing based on radial projections of key frames, IEEE Transactions on Signal Processing, 2005, 53, (10), pp. 4020-4036.
10. Swaminathan A., Mao Y., and Wu M.: Robust and secure image hashing, IEEE Transactions on Information Forensics and Security, 2006, 1, (2), pp. 215-230. (Pubitemid 43824632)
11. Wang S., and Zhang X.: Attacks on perceptual image hashing, Proc. of the 2nd International Conference on Ubiquitous Information Technologies and Applications, Bali, Indonesia, Dec. 2007, pp. 199-203.
12. Mao Y. and Wu M.: Unicity distance of robust image hashing, IEEE Transactions on Information Forensics and Security, 2007, 2, (3), pp. 462-467. (Pubitemid 47290580)
13. Li Q., and Roy S.: On the security of non-forgeable robust hash functions, Proc. of IEEE International Conference on Image Processing, San Diego, California, USA, October 2008, pp. 3124-3127.
14. Monga V., and Mihcak M. K.: Robust and secure image hashing via non-negative matrix factorizations, IEEE Transactions on Information Forensics and Security, 2007, 2, (3), pp. 376-390. (Pubitemid 47290573)
15. Wang Z., Bovik A. C., Sheikh H. R., and Simoncelli E. P.: Image quality assessment: from error visibility to structural similarity, IEEE Transactions on Image Processing, 2004, 13, (4), pp. 600-612.
16. Tang Z., Wang S., Zhang X., and Wei W.: Perceptual similarity metric resilient to rotation for application in robust image hashing, Proc. of the 3rd International Conference on Multimedia and Ubiquitous Engineering, Qingdao, China, June 4-6, 2009, pp. 183-188.
17. Petitcolas F. A. P.: Watermarking schemes evaluation, IEEE Signal Processing Magazine, 2000, 17, (5), pp. 58-64.
18. Ground Truth Database.[online]. Available: http://www.cs.washington.edu/ research/imagedatabase/groundtruth/, accessed May 2008.
19. Lehmann E. L., and Romano J. P.: Testing Statistical Hypotheses. (New York, USA, Springer, 2005, 3rd Ed), pp. 590-599.