Optimum watermark design by vector space projections

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 1413-1416

  Altun, Oktay ^a   Sharma, Gaurav ^a   Bocko, Mark ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

Optimum watermark embedding; POCS; Set theoretic watermark; Spread spectrum watermark; Vector space projections

Indexed keywords

POCS; SET THEORETIC WATERMARK; SPREAD SPECTRA; VECTOR SPACE PROJECTIONS; WATERMARK EMBEDDING;

CONVERGENCE OF NUMERICAL METHODS; IMAGE PROCESSING; IMAGING SYSTEMS; OPTIMIZATION; SIGNAL PROCESSING; VECTOR SPACES; VECTORS;

WATERMARKING;

EID: 51349164576     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312691     Document Type: Conference Paper

References (10)

1. B.Chen and G.W.Wornell, "Quantization index modulation: a class of provably good methods for digital watermarking and information embedding," IEEE Trans. Inform. Theory, vol. 47, pp. 1423-1443, 2001.
2. I. Cox, J.Kilian, F.T.Leighton, and T.Shamoon, "Secure spread spectrum watermarking for multimedia," IEEE Trans. Image Proc., vol. 6, no. 12, pp. 1673-1687, Dec. 1997.
3. S. Pereira, S. Voloshynoskiy, and T. Pun, "Optimal transform domain watermark embedding via linear programming," Signal Processing, vol. 81, no. 6, pp. 1251-1260, Jun. 2001.
4. M. K. Mihcak, R. Venkatesan, and M. Kesal, "Optimization algorithms for quantizing randomized statistics of image regions," in Proceedings of the Fortieth Annual Allerton Conference on Communication, Control and Computing, Oct. 2002.
5. O. Altun, G. Sharma, M. Celik, and M. Bocko, "Set theoretic watermarking and its application to semifragile tamper detection," IEEE Trans. Information Forensics And Security, August 2005, submitted for review.
6. O. Altun, G. Sharma, M. Celik, and M. Bocko, "Semi-fragile hierarchical watermarking in a set theoretic framework," in Proc. of ICIP, 2005, vol. 1, pp. 1001-1004.
7. M. L. Miller, I. J. Cox, and J. A. Bloom, "Informed embedding: Exploiting image and detector information during watermark insertion," Proc. ofICIP, 2000.
8. J. L. Mannos and D. L. Sakrison, "The effects of a visual fidelity criterion on the encoding of images," IEEE Transactions on Information Theory, vol. 20, no. 4, pp. 525-536, Jul. 1974.
9. P. L. Combettes, "The foundations of set theoretic estimation," Proceedings of the IEEE, vol. 81, no. 2, pp. 182-208, Feb. 1993.
10. S. Boyd, "Convex optimization," Cambridge University Press, http://www.stanford.edu/ boyd/cvxbook/.