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Journal of Electronic Imaging

Suprathreshold stochastic resonance and maximizing network for watermark detection
Author(s): Rajib K. Jha; Bhupendra Gupta; Deepak Mishra; Prabir K. Biswas
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Paper 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.

Paper Details

Date Published: 22 February 2012
PDF: 10 pages
J. Electron. Imag. 21(1) 013001 doi: 10.1117/1.JEI.21.1.013001
Published in: Journal of Electronic Imaging Volume 21, Issue 1
Show Author Affiliations
Rajib K. Jha, PDPM IIITDM Jabalpur (India)
Bhupendra Gupta, PDPM IIITDM Jabalpur (India)
Deepak Mishra, PDPM IIITDM Jabalpur (India)
Prabir K. Biswas, Indian Institute of Technology Kharagpur (India)

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