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2013 (Vol. 5, Issue: 12)
Article Information:

Watermark Extraction Optimization Using PSO Algorithm

Mohammad Dehghani Soltani, Ali Seyedjafari and Hamid Dehghani
Corresponding Author:  Mohammad Dehghani Soltani 

Key words:  ML receiver, PSO algorithm and Neyman-Peyrson test, watermarking, wavelet transform, , ,
Vol. 5 , (12): 3312-3319
Submitted Accepted Published
June 09, 2012 July 18, 2012 April 10, 2013
Abstract:

In this study we propose an improved method for watermarking based on ML detector that in comparison with similar methods this scheme has more robustness against attacks, with the same embedded length of logo. Embedding the watermark will perform in the low frequency coefficients of wavelet transform of high entropy blocks (blocks which have more information). Then in the watermark extraction step by using PSO algorithm in a way that maximum quality in comparison with previous methods obtain, by optimizing the Lagrange factor in the Neyman-Peyrson test, we extract the watermark. Finally, performance of proposed scheme has been investigated and accuracy of results are shown by simulation.
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  Cite this Reference:
Mohammad Dehghani Soltani, Ali Seyedjafari and Hamid Dehghani , 2013. Watermark Extraction Optimization Using PSO Algorithm.  Research Journal of Applied Sciences, Engineering and Technology, 5(12): 3312-3319.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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