Have a personal or library account? Click to login

Image Quality Assessment Method for Underwater Acoustic Communication Based on Digital Watermarking

Open Access
|Apr 2013

References

  1. Z Wang, A C Bovik, L Lu, “Why is image quality assessment so difficult?”, In:IEEE International Conference on Acoustics, Speech and Signal Processing, vol.4, pp. IV-3313 - IV-3316, May 13-17, 2002, Orlando, FL, USA.10.1109/ICASSP.2002.5745362
  2. Liu, Hantao, and Ingrid Heynderickx, “Visual attention in objective image quality assessment: based on eye-tracking data”, Circuits and Systems for Video Technology, IEEE Transactions on,vol. 21,No. 7, pp.971-982, July 2011.10.1109/TCSVT.2011.2133770
  3. Z Wang, A C Bovik, “A universal image quality index”, IEEE Signal Processing Letters, vol.9, No. 3, pp.81-84, March 2002.10.1109/97.995823
  4. Ciancio A, da Costa A L N T, da Silva E A B, et al, “No-reference blur assessment of digital pictures based on multifeature classifiers”, IEEE Transactions on Image Processing, vol. 20, No. 1,pp.64-75, Jan. 2011.10.1109/TIP.2010.2053549
  5. Kundur D, Hatzinakos D, “Digital watermarking for telltale tamper proofing and authentication”, Proceedings of the IEEE, vol. 87, No.7, pp.1167-1180,July 1999.
  6. G. Langelaar, I. Setyawan, and R. Lagendijk, “Watermarking Digital Image and Video Data: A State-of-the-Art Overview”, IEEE Signal Processing Magazine, vol. 17, no. 5, pp. 20-46, Sept. 2000.10.1109/79.879337
  7. M. Swanson, M. Kobayashi, and A. Tewfik, “Multimedia DataEmbedding and Watermarking Technologies”, Proceedings of the IEEE, vol. 86, No. 6, pp. 1064-1087, June 1998.
  8. R. Wolfgang, C. Podilchuk, and E. Delp, “Perceptual Watermarks for Digital Images and Video”, Proceedings of the IEEE, vol. 87, No.7, pp. 1108-1126,July 1999.
  9. R. Nevatia and K. R. Babu, “Linear feature extraction and description”, Computer Graphics and Image Processing, vol. 13, No. 3, pp. 257-269, July 1980.10.1016/0146-664X(80)90049-0
  10. N. R. Pal and S. K. Pal, “A Review on Image Segmentation Techniques”, Pattern recognition, vol. 26, No. 9, pp. 1277-1294, Sep. 1993.
  11. Bhuiyan, M. I. H., M. O. Ahmad, and M. N. S. Swamy, “Wavelet-based image denoising with the normal inverse Gaussian prior and linear MMSE estimator”, Image Processing, IET, vol. 2, No.4, pp.203-217, Aug. 2008.10.1049/iet-ipr:20070035
  12. J.G. Kim and M. M. Krunz, “Bandwidth allocation in wireless networks with guaranteed packet-loss performance”, IEEE/ACM Trans.Networking, vol.8, pp. 337-349, June 2000.10.1109/90.851980
  13. M. P. Eckert and A. P. Bradley, “Perceptual quality metrics applied to still image compression”, Signal Processing, vol. 70, no. 3, pp. 177–200, Nov. 1998.10.1016/S0165-1684(98)00124-8
  14. Winkler, Stefan, “Issues in vision modeling for perceptual video quality assessment “, Signal Processing, vol. 78, no. 2, pp. 231–252, Oct. 1999.10.1016/S0165-1684(99)00062-6
  15. Liu Z, and Akira Inoue, “Audio watermarking techniques using sinusoidal patterns based on pseudorandom sequences”, Circuits and Systems for Video Technology, IEEE Transactions on, vol.13, No. 8, pp.801-812, Aug. 2003.10.1109/TCSVT.2003.815960
  16. Voyatzis, George, and Ioannis Pitas, “The use of watermarks in the protection of digital multimedia products”, Proceedings of the IEEE, vol.87, No.7, pp. 1197-1207, July 1999.
  17. R. Sion, M. Atallah, and S. Prabhakar, “Rights Protection for Relational Data”, Knowledge and Data Engineering, IEEE Transactions on, vol. 16, No. 6, pp. 1509-1525, June 2004.
Language: English
Page range: 752 - 771
Submitted on: Dec 28, 2012
Accepted on: Mar 17, 2013
Published on: Apr 10, 2013
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2013 Yuan Fei, Ye Zheng-Shan, Lin Cong-Ren, Cheng En, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.