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Suprathreshold stochastic resonance and maximizing network for watermark detection

[+] Author Affiliations
Rajib Kumar Jha

Indian Institute of Information Technology, Jabalpur, 482001, India

Prabir Kumar Biswas

Indian Institute of Technology, Kharagpur, 721 302, India

Bhupendra Gupta

Indian Institute of Information Technology, Jabalpur, 482001, India

Deepak Mishra

Indian Institute of Information Technology, Jabalpur, 482001, India

J. Electron. Imaging. 21(1), 013001 (Feb 22, 2012). doi:10.1117/1.JEI.21.1.013001
History: Received October 2, 2010; Revised July 13, 2011; Accepted November 14, 2011
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Abstract.  We propose a novel method that improves watermark detection performance, based on suprathreshold stochastic resonance (SSR) with a maximizing network. The detection performance is measured in terms of correlation. The proposed method has been tested on different gray-scale images, and we found that an original image is not required for watermark detection, so this method is blind. We improved the correlation between an original watermark and the SSR with maximizing network-based discrete wavelet transform coefficients of the watermarked image. Our experimental results have been compared with the different existing techniques and were found superior in terms of correlation and ratio of correlation to threshold.

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© 2012 SPIE and IS&T

Citation

Rajib Kumar Jha ; Prabir Kumar Biswas ; Bhupendra Gupta and Deepak Mishra
"Suprathreshold stochastic resonance and maximizing network for watermark detection", J. Electron. Imaging. 21(1), 013001 (Feb 22, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.1.013001


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