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Reseach Article

Robust Blind Digital Watermarking in Contourlet Domain

by Sreejith.v, Srijith.k, Rajesh Cherian Roy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 12
Year of Publication: 2012
Authors: Sreejith.v, Srijith.k, Rajesh Cherian Roy
10.5120/9333-3639

Sreejith.v, Srijith.k, Rajesh Cherian Roy . Robust Blind Digital Watermarking in Contourlet Domain. International Journal of Computer Applications. 58, 12 ( November 2012), 13-18. DOI=10.5120/9333-3639

@article{ 10.5120/9333-3639,
author = { Sreejith.v, Srijith.k, Rajesh Cherian Roy },
title = { Robust Blind Digital Watermarking in Contourlet Domain },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 12 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number12/9333-3639/ },
doi = { 10.5120/9333-3639 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:02:18.462564+05:30
%A Sreejith.v
%A Srijith.k
%A Rajesh Cherian Roy
%T Robust Blind Digital Watermarking in Contourlet Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 12
%P 13-18
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an invisible robust blind digital watermarking algorithm using adaptive and distributed quantization in contourlet domain for colour images. In the proposed watermarking scheme, the blue plane of the colour image is decomposed into series of multiscale, local and directional sub images using contourlet transform. The low frequency component of the transform is divided into non overlapping blocks, into which Arnold scrambled binary watermark is embedded, with help of adaptive quantization step value of each block. A blind detection algorithm is employed for the watermark recovery process, which does not require the original image. Experimental results show that the proposed algorithm is highly resistant to attacks such as JPEG compression, noising, cropping etc. The proposed method is compared with an odd-even quantization based technique and the results prove that the adaptive quantization based technique gives better robustness, under similar conditions.

References
  1. Smitha Rao M. S, Jyothsna A. N, Pinaka Pani. R "Digital Watermarking: Applications, Techniques and Attacks" International Journal of Computer Applications (0975 – 8887) Volume 44– No. 7, April 2012.
  2. Darshana Mistry, "Comparison of Digital Water Marking methods"IJCSE Vol. 02, No. 09, 2010, 2905-2909
  3. M. Do, M. Vetterli, "Contourlets : a directional multi resolution image representation" IEEE International Conference on Image Processing (ICIP'2002), vol. 1, Rochester, 2002: 357-360.
  4. Do, M. N. , Vetterli, M. "The contourlet transform: an efficient directional multiresolution image representation". IEEE trans. Image Processing 2005, 14(2):2091 – 2106.
  5. R. Javidan, M. A. Masnadi-Shirazi, Z. Azimifar and M. H. Sadreddini,"A Comparative study between wavelet and Contourlet Transorm Features for Textural Image Classification", Information and Communication Technologies: From Theory to Applications, pp. 1-5, 7-11 April 2008.
  6. Jingjing Wei, Shihua Yong, Xiaohu Ma, "Blind Digital Watermarking Algorithm based on Quantization in Contourlet Domain" 2nd International Conference on e-Business and Information System Security (EBISS), 2010.
  7. C Wang, J Wang, M Zhou,G Chen,Deyi Li "ATBaM: An Arnold Transform Based Method onWatermarking Relational Data" International Conference on Multimedia and Ubiquitous Engineering 2008.
  8. Roberto H. Bamberger, "A Filter Bank for the Directional Decomposition of Images: Theory and Design" IEEE transactions on signal processing. Vol 40, no 4, april 1992.
  9. Farook Sattar, Lars Floreby, G¨oran Salomonsson, "Image Enhancement Based ona Nonlinear Multiscale Method" IEEE Transactions On Image Processing, VOL. 6, NO. 6, JUNE 1997.
  10. R. Veluman , V. Seenivasagam "Reversible Blind HF Domain Contourlet Watermarking for Authentication of Digital Images" IJCA Volume 24– No. 4, June 2011.
  11. Farhad Rahimi, Hossein Rabbani "A dual adaptive watermarking scheme in contourlet domain for DICOM images" BioMedical Engineering OnLine 2011.
  12. Zhou Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image Quality Assessment: From Error Visibility to Structural Similarity" IEEE Transactions On Image Processing, Vol. 13, NO. 4, April 2004.
  13. C. Venkata Narasimhulu, K. Satya Prasad "A New SVD based Hybrid Color Image Watermarking forCopyright Protection using Contourlet Transform" " IJCA Volume 20– No. 8, April 2011.
  14. Gonzalez, Richard E Woods "DigitalImageProcessing".
  15. Yaxun Zhou, Wei Jin "A Robust Digital Image Multi-watermarking Scheme in the DWT Domain" ICSAI 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Blind digital watermarking Contourlet transform Arnold transform Quantization