Improving watermark detection performance using suprathreshold stochastic resonance

Digital watermarking is an important tool to protect digital data. In this paper a novel method is introduced which improves the watermark detection performance using suprathreshold stochastic resonance. The detection performance is computed using correlation as a parameter. We found that the correlation between original watermark and the stochastic resonance based discrete wavelet transform coefficients of the watermarked image improves. The experimental results have been compared with the different existing techniques qualitatively and quantitatively. The results was found superior.