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Robust Digital Image Watermarking Scheme in Discrete Wavelet Transform domain using Support Vector Machines

by B. Jagadeesh, P. Rajesh Kumar, P. Chenna Reddy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 14
Year of Publication: 2013
Authors: B. Jagadeesh, P. Rajesh Kumar, P. Chenna Reddy
10.5120/12806-9865

B. Jagadeesh, P. Rajesh Kumar, P. Chenna Reddy . Robust Digital Image Watermarking Scheme in Discrete Wavelet Transform domain using Support Vector Machines. International Journal of Computer Applications. 73, 14 ( July 2013), 1-7. DOI=10.5120/12806-9865

@article{ 10.5120/12806-9865,
author = { B. Jagadeesh, P. Rajesh Kumar, P. Chenna Reddy },
title = { Robust Digital Image Watermarking Scheme in Discrete Wavelet Transform domain using Support Vector Machines },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 14 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number14/12806-9865/ },
doi = { 10.5120/12806-9865 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:40:03.351321+05:30
%A B. Jagadeesh
%A P. Rajesh Kumar
%A P. Chenna Reddy
%T Robust Digital Image Watermarking Scheme in Discrete Wavelet Transform domain using Support Vector Machines
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 14
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a robust and blind watermarking scheme for copyright protection of images in discrete wavelet transform domain based on the support vector machines (SVMs). This scheme is based on the relation between the coefficients in various sub bands in discrete wavelet transform decomposition. The proposed scheme is very secured and robust to various attacks, viz. , Low pass Filtering, Salt & Pepper noise, Gamma Correction, JPEG Compression, Row-Column Copying, Row-column blanking, Bit plane removal, Cropping, Resize and Histogram Equalization etc. Experimental results show that the proposed scheme has significant improvements in both robustness and imperceptibility and superior to an algorithm proposed by Li et al. in terms of Normalized Cross correlation (NC) and Peak Signal to Noise Ratio (PSNR).

References
  1. Cox, IJ, Miller, ML & Bloom, JA, 2002, "Digital Watermarking", Morgan Kaufmann Publisher, San Francisco, CA, USA.
  2. Steve R Gunn, 1998, "Support vector machines forclassification and regression", Technical Report, ISIS Department of electronics and computer science, University of Southampton.
  3. Wu. Jianzhen, 2009, "A RST invariant watermarking scheme utilizing support vector machine and image moments for synchronization", Fifth International Conference on Information Assurance and Security, China, pp. 572–574.
  4. Xiang-Yang Wang, Zi-Han Xu, Hong-Ying Yang, 2009, "A robust image watermarking algorithm using SVM detection", Expert Sys. Appl. 36 (5), pp. 9056–9064.
  5. H. H. Tsai, D. W. Sun, 2007, "Color image watermark extraction based on support vector machines", Inform. Sci. 177 (2), pp. 550–569.
  6. P. H. H. Then, and Y. C. Wang, 2005, "Perceiving Digital Watermark Detection as Image Classification Problem using Support Vector Machine", Proc. of CITA05, pp. 198-206.
  7. P. H. H. Then, and Y. C. Wang, 2006, "Support Vector Machine as Digital Watermark Detector," In Proceedings of SPIE-IS&T Electronic Imaging, SPIE.
  8. Fu, Y. , Shen, R. , Lu, H. , 2004, "Optimal watermark Detection based on support vector machines", Proceedings of the International Symposium on Neural Networks, Dalian, China, pp. 552–557.
  9. H. H. Tsaia, H. C. Tsenga, Y. S. Laib, 2010, "Robust lossless image watermarking based on ?-trimmed mean algorithm and support vector machine", J. Sys. Software. 83 (6), pp. 1015 –1028.
  10. Chun-hua Li, Ling He-fei, Lu Zheng-ding, 2007, "Semi-fragile watermarking based on SVM for image authentication", IEEE International Conference on Multimedia and Expo, Beijing, China, pp. 1255–1258.
  11. Hong Peng, Jun Wang, Weixing Wang, 2010, "Image watermarking method in multiwavelet Domain based on support vector machine", J. Sys. Software, 83 (8) pp. 1470 –1477.
  12. Colin Campbell, Yiming Ying, 2011, "Learning with Support Vector Machines", Morgan & Claypool Publishers. lishe
Index Terms

Computer Science
Information Sciences

Keywords

Digital Image Watermarking Discrete Wavelet Transform Support Vector Machines

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