Adaptive Image Watermarking Using Multiple Transforms
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)
A novel scheme for the watermarking of color images is presented in this communication. The first objective is to find the most suitable alternative to RGB color space, which is known to be highly correlated. Color spaces linearly related to RGB color space with uncorrelated components are found to be most suitable for watermarking applications. Second objective is to make the scheme adaptive to the color image. This is achieved by keeping the PSNR in a predefined quality range, while tuning the watermark strength. The length of the watermark is kept constant for each of the color channels. In order to select the suitable space for watermark casting each of the color channels is transformed through Discrete Wavelet Transform and then the Discrete Hadamard Transform is applied to the approximations only. By this multiple transformation we are in a position to select the most appropriate coefficients for the watermarking, which are close to the low frequencies and uncorrelated in nature. For increased security the coefficients are randomized by means of a private key. Watermark detection is fast and blind, i.e. only the watermark generation and coefficient randomization keys are needed, and not the original image. The presented results demonstrate the robustness of the method against some common image processing attacks such as compression, scaling, uniform or gaussian noise addition, median filtering, cropping and multiple watermarking. Finally, the proposed scheme is also tested against StirMark benchmark.
Copyright © 2017 Praise Worthy Prize - All rights reserved.
M. Miller, I. J. Cox, and J. Bloom, “Watermarking in the Real World: An Application to DVD,” Proc. Wksp. Multimedia and Security at ACM Multimedia 98, Bristol, U.K., Sept. 1998.
S. A. Shah, S. A. M Gilani, I. A. Awan, "Owner Verification and Copyright Protection for Relational Data using Digital Watermarking", International Workshop on Computer Science IMEC, Hong Kong, Jun 20-22, 2006.
W. Bender, D. Gruhl, and N. Morimoto, “Techniques for Data Hiding,” in Proc. SPIE, Storage and Retrieval for Image and Video Databases III, vol. 2420, pp. 165-173, San Jose, CA, Feb. 9-10, 1995.
R. G. Van Schyndel, A. Z. Tirkel, and C. F. Osborne, “A Digital Watermark,” in Proc. IEEE Int. Conf. Image Processing, vol. 2, pp. 86-90, Austin, TX, Nov. 1994.
M. Kutter, F Jordan, and F. Bossen, "Digital signature of Color Images Using Amplitude Modulation," in Proc. SPIE Electronic Imaging 97, Storage and Retrieval for Image and Video Databases V, pp. 518-526, San Jose, CA, Feb, 1997.
A. Nikolaidis, and I. Pitas, "A Region-Based Technique For Chaotic Image Watermarking," EUSIPCO 2000, vol. II, Tampere, Finland, Sept. 4-8, 2000.
I. Cox, J. Kilian, F. Thomson Leigton and T. Shamoon, “Secure Spread Spectrum Watermarking for Multimedia”, IEEE Trans. On Image Processing, vol.6, no.12, Dec. 1997.
C.-S. Lu, “Towards Robust Image Watermarking: Combining Content-Dependent Watermark, Moment Normalization, and Side-Informed Embedding,’’ Signal Processing: Image Communication, Vol. 20, No. 2, pp. 129-150, 2005.
M. Hamad Hassan, S. A. M Gilani, "A Fragile Watermarking Scheme for Color Image Authentication", Transactions on Engineering, Computing and Technology, Volume 13, May 2006 ISSN 1305-5313.
Kamaran Hameed, Adeel Mumtaz, S. A. M Gilani, " Digital Image Watermarking in the Wavelet Transform Domain", Transactions on Engineering, Computing and Technology, Volume 13, May 2006 ISSN 1305-5313.
M. Hamad Hassan, S. A. M Gilani, "A Semi-Fragile Watermarking Scheme for Color Image Authentication", Transactions on Engineering, Computing and Technology, Volume 13, May 2006 ISSN 1305-5313.
Scott E Umbaugh, “Computer Imaging, Digital Image Analysis and Processing”, Taylor & Francis, 2005.
S. H. Jung, and S. K. Mitra, “Subband DCT: Definition, Analysis, and Applications”, IEEE Trans. Circuits and Systems for Video Technology, vol. 6, no 3, June 1996.
S. A. M. Gilani and A. N. Skodras, “Watermarking By Multiresolution Hadamard Transform," in Proc. Electronic Imaging & Visual Arts (EVA 2001), pp. 73-77, Florence, Italy, March 26-30, 2001.
S. A. M. Gilani and A. N. Skodras, “Robust Image Watermarking By Subband DLT," International Conference on Media Futures, Florence, Italy, May 8-9, 2001.
V. Fotopoulos and A. N. Skodras, “A Subband DCT Approach to Image Watermarking," EUSIPCO 2000, vol. 3, Tampere, Finland, Sept. 4-8, 2000
M. Ramkumar, “Data Hiding in Multimedia – Theory and Applications”, Ph.D. Thesis, Dept. of Electrical and Computer Engineering, New Jersey Institute of Technology. Jan. 2000.
I. J. Cox, M. L. Miller, and J. A. Bloom, "Digital Watermarking", Academic Press 2002.
G. C. Langelaar, I. Setyawan and R. L. Lagendijk, "Watermarking Digital Image and Video Data; A state of The Art Overview," IEEE Signal Processing Magazine, pp. 20-46, Sept. 2000.
M. J. T. Smith and R. M. Mersereau, "Introduction to Digital Signal Processing: A computer Laboratory Textbook", John Wiley & Sons, Inc. 1992.
S. J. Sangwine, "Colour in Image Processing", Electronics & Communication Engineering Journal, pp. 211-219, Oct. 2000.
S. Katzenbeisser, and A. P. Petitcolas, "Information Hiding Techniques for Steganography and Digital Watermarking," Artech House, Inc., 2000.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2020 Praise Worthy Prize