• Jul 03, 2017 News!Good News! Since 2017, IJMLC has been indexed by Scopus!
  • Jul 06, 2017 News!Vol.7, No.2 has been published with online version.   [Click]
  • Jul 01, 2017 News!Vol.7, No.1 has been published with online version.   [Click]
Search
General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(6): 725-728 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.223
 

Watermarking of Grayscale Images in DCT Domain Using Least-Squares Support Vector Regression

Vikash Chaudhary, Anurag Mishra, Rajesh Mehta, Monika Verma, Ram Pal Singh, and Navin Rajpal
Abstract—In this paper, we have used Least-Squares Support Vector Regression (LS-SVR) method, which is a reliable and robust method for regression analysis, for grayscale image watermarking in DCT domain. This method offers several advantages unlike conventional SVRs which is perceived as a minimization problem with linear inequality constraints and has solution to quadratic programming (QP) problem. Due to this reason, the problem solution becomes computationally costly. On the other hand, the solution to the LS-SVR algorithm may be obtained by solving a system of linear equations instead of solving a QP problem and therefore it consumes less time. In this case, the LS-SVR algorithm embeds a given binary watermark in three different grayscale images in a short time span. PSNR values indicate good quality of the signed images. The watermarks are also extracted and the computed values of SIM(X,X *) correlation parameter indicate that the extraction process is quite successful.

Index Terms—Grayscale image watermarking; least-squares support vector regression; PSNR.

Vikash Chaudhary is with Department of Computer Science, BN College, University of Delhi, Delhi, India (vikasch09@yahoo.co.in).
Anurag Mishra is with Department of Physics and Electronics, DDUC, University of Delhi, Delhi, India.
Rajesh Mehta is with Department of Computer Science, Amity Engineering College, GGSIP University, Delhi, India.
Monika Verma is with MJKP School, Delhi, India.
Ram Pal Singh is with the Department of Computer Science, DDUC, University of Delhi, Delhi, India ( rprana@gmail.com)
Navin Rajpal is with University School of Information Technology, GGSIP University, Delhi, India.

[PDF]

Cite:Vikash Chaudhary, Anurag Mishra, Rajesh Mehta, Monika Verma, Ram Pal Singh, and Navin Rajpal, "Watermarking of Grayscale Images in DCT Domain Using Least-Squares Support Vector Regression," International Journal of Machine Learning and Computing vol.2, no. 6, pp. 725-728, 2012.

PREVIOUS PAPER
First page
Copyright © 2008-2015. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net