CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Block-based Adaptive Image Watermarking Scheme using Visual Perception Model in DCT Domain

by F. Namazi, M. R. Karami, S. B. Ramazannia
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 4
Year of Publication: 2012
Authors: F. Namazi, M. R. Karami, S. B. Ramazannia
10.5120/5532-7579

F. Namazi, M. R. Karami, S. B. Ramazannia . Block-based Adaptive Image Watermarking Scheme using Visual Perception Model in DCT Domain. International Journal of Computer Applications. 41, 4 ( March 2012), 41-45. DOI=10.5120/5532-7579

@article{ 10.5120/5532-7579,
author = { F. Namazi, M. R. Karami, S. B. Ramazannia },
title = { Block-based Adaptive Image Watermarking Scheme using Visual Perception Model in DCT Domain },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 4 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number4/5532-7579/ },
doi = { 10.5120/5532-7579 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:18.788552+05:30
%A F. Namazi
%A M. R. Karami
%A S. B. Ramazannia
%T Block-based Adaptive Image Watermarking Scheme using Visual Perception Model in DCT Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 4
%P 41-45
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an improved DCT-based watermarking technique has been presented, which exploits human visual model for adapting the watermark data to local properties of the host image. In order to achieve more robustness and transparency, watermark has been embedded into the middle frequency components of the image. These components are significant in high textural regions so that the visibility of the image would not be affected and the watermark will not be removed by compression. Experimental results are provided to demonstrate that embedded watermarks can be almost fully extracted from the JPEG-compressed images with very high compression ratios and other kind of attacked images.

References
  1. N. K Kalantari, S. M. Ahadi, F. Marvasti, "A Robust Image Watermarking in the Ridgelet Domain Using Universally Optimum Decoder," IEEE Trans. Circuits and Systems for VideoTechnology. 20 (3) pp. 396–406,(2010).
  2. C. -H. Chang, Z. Ye, M. Zhang, Fuzzy-ART based adaptive digital watermarking scheme, IEEE Transactions on Circuits and Systems for Video Technology 15 (1)pp. 65-81 (2005)
  3. I. J. Cox, J. Kilian, T. Leighton and T. Shamoon, "Secure Spread Spectrum Watermarking for Multimedia", IEEE Trans. on Image Processing, pp. 1673-1687, 1997.
  4. H. Qi, D. Zheng, J. Zhao, "Human visual system based adaptive digital image watermarking,"Signal Process. 88,PP. 174–188, Jul. 2008.
  5. O. T. -C. Chen and W-Ch. Wu,"Highly Robust, Secure, and Perceptual-QualityEcho Hiding Scheme," IEEE Transactionson Audio,speech and language processing, Vol. 16, NO. 3, pp. 629-638, 2008.
  6. M. A Akhaee, S. M. E Sahraeian, F. Marvasti, "Contourlet-Based Image Watermarking Using Optimum Detector in a Noisy Environment," IEEE Trans. Image Process. 19 (4) pp. 969–980,(2010).
  7. S. D. Lin a, S-C. Shie b, J. Y. Guo, "Improving the robustness of DCT-based image watermarking against JPEG compression," Computer Standards & Interfaces 32, pp. 54–60 ,2010.
  8. S. Lin, C. Chin,. "A Robust DCT-based Watermarking for Copyright Protection," IEEE Trans. Consumer Electronics, 46(3): pp. 415-421, 2000.
  9. R. B. Wolfgang, C. I. Podilchuk and E. J. Delp, "Perceptual Watermarks for Digital Images and Video," Proceedings of the IEEE, Vol. 87, No. 7, pp. 1108-1126, 1999.
  10. Peter H. W. Wong, Oscar C. Au and Y. M. Yeung, "A Novel Blind Multiple Watermarking Technique for Images," IEEE Trans. on Circuits and Systems for VideoTechnology, Vol. 13, No. 8, pp. 813-830, 2003.
  11. Z. Yantao, M. Yunfei, L. Zhiquan, "a robust chaos-based DCT-domain watermarkingalgorithm," 2008 International Conference on Computer Science and Software Engineering, pp. 935 – 938, 2008.
  12. F. Bartolini, M. Barni, V. Cappellini, A. Piva, Mask building for perceptually hiding frequency embedded watermarks, in: Proceedings of the IEEE ICIP98 1 (October 1998) 450–454.
  13. H. Qi, D. Zheng, J. Zhao. "Human visual system based adaptive digital image watermarking". Signal Process. 88,PP. 174–188, Jul. 2008.
  14. A. B. Watson, R. Borthwick, and M. Taylor, "Image quality and entropy masking," in SPIE Proceedings, San Diego, California, vol. 3016, 1997.
  15. S. Voloshynovskiy, A. Herrigel, N. Baumgaertner, T. Pun, A stochastic approach to content adaptive digital image watermarking, in: Proceedings of the International Workshop on Information Hiding, Lecture Notes in Computer Science, vol. LNCS 1768, 1999, pp. 212–236.
Index Terms

Computer Science
Information Sciences

Keywords

Digital Watermarking Discrete Cosine Transformation Human Visual System

Powered by PhDFocusTM