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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

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Cognitive computation of compressed sensing for watermark signal measurement

Zhao, Huimin and Ren, Jinchang (2015) Cognitive computation of compressed sensing for watermark signal measurement. Cognitive Computation. ISSN 1866-9964

Text (Zhao-Ren-CC-2015-Cognitive-computation-of-compressed-sensing-for-watermark)
Zhao_Ren_CC_2015_Cognitive_computation_of_compressed_sensing_for_watermark.pdf - Accepted Author Manuscript

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As an important tool for protecting multimedia contents, scrambling and randomizing of original messages is used in generating digital watermark for satisfying security requirements. Based on the neural perception of high-dimensional data, compressed sensing (CS) is proposed as a new technique in watermarking for improved security and reduced computational complexity. In our proposed methodology, watermark signal is extracted from the CS of the Hadamard measurement matrix. Through construction of the scrambled block Hadamard matrix utilizing a cryptographic key, encrypting the watermark signal in CS domain is achieved without any additional computation required. The extensive experiments have shown that the neural inspired CS mechanism can generate watermark signal of higher security, yet it still maintains a better trade-off between transparency and robustness.