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2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Digital Image Watermarking in DCT Domain Using Finite Newton Support Vector Regression
Darmstadt, Germany
October 15-October 17
ISBN: 978-0-7695-4222-5
| ASCII Text | x | ||
| Rajesh Mehta, Anurag Mishra, Rampal Singh, Navin Rajpal, "Digital Image Watermarking in DCT Domain Using Finite Newton Support Vector Regression," Intelligent Information Hiding and Multimedia Signal Processing, International Conference on, pp. 123-126, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/IIHMSP.2010.38, author = {Rajesh Mehta and Anurag Mishra and Rampal Singh and Navin Rajpal}, title = {Digital Image Watermarking in DCT Domain Using Finite Newton Support Vector Regression}, journal ={Intelligent Information Hiding and Multimedia Signal Processing, International Conference on}, volume = {0}, year = {2010}, isbn = {978-0-7695-4222-5}, pages = {123-126}, doi = {http://doi.ieeecomputersociety.org/10.1109/IIHMSP.2010.38}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on TI - Digital Image Watermarking in DCT Domain Using Finite Newton Support Vector Regression SN - 978-0-7695-4222-5 SP123 EP126 A1 - Rajesh Mehta, A1 - Anurag Mishra, A1 - Rampal Singh, A1 - Navin Rajpal, PY - 2010 KW - Digital Image Watermarking KW - Finite Newton Support Vector Regression KW - PSNR KW - SIM(X KW - X*) VL - 0 JA - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on ER - | |||
Finite Newton Support Vector Regression (FNSVR) is a reliable and robust method for regression analysis which unlike other support vector regression methods, converges the computation in a few iterations. In this paper, we have used FNSVR method for embedding and extracting a binary image as a watermark in 8-bit gray scale cover images. Digital image watermarking being a time consuming task, requires fast embedding and extraction procedures and overall it should have a low time complexity. FNSVR being an algorithm which consumes less number of iterations, embeds a given watermark in a short time span. Computed PSNR values indicate good quality of the signed images. parameter is computed and its values indicate that the extraction process is quite successful.
Index Terms:
Digital Image Watermarking, Finite Newton Support Vector Regression, PSNR, SIM(X, X*)
Citation:
Rajesh Mehta, Anurag Mishra, Rampal Singh, Navin Rajpal, "Digital Image Watermarking in DCT Domain Using Finite Newton Support Vector Regression," iih-msp, pp.123-126, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2010
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