Abstract
In this paper, a Dynamic Stochastic Resonance (DSR)-based watermark extraction technique in discrete cosine transform (DCT) domain has been presented for copyright protection of audio signals. Watermark as a logo is embedded into the most prominent peaks of the highest energy segment of the audio DCT coefficients. DSR has been used to improve the robustness of the extraction algorithm by utilizing the degradation that introduces during various signal processing and geometrical attacks. Tuning of the DCT coefficients of the watermarked signal by noise-induced resonance improves the authenticity of the watermarked signal. DSR is an iterative process due to which the effect of noise is suppressed and hidden information is enhanced. Response of the proposed extraction scheme suggests increased robustness against various attacks such as noise addition, cropping, re-sampling, re-quantization, MP3 compression, and echo without trading-off with visual quality of the watermarked logo. Comparison with the existing DCT, DWT, and SVD techniques shows the better performance in terms of correlation coefficient and visual quality of extracted watermark.
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