Robust Data Hiding Scheme for Compressively Sensed Signals. Yamaç, M., Sankur, B., & Gabbouj, M. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 1760-1764, Sep., 2018.
Robust Data Hiding Scheme for Compressively Sensed Signals [pdf]Paper  doi  abstract   bibtex   
We consider the problem of linear data hiding or watermark embedding directly onto compressively sensed measurements (CSMs). In our encoding and decoding scheme, we seek exact recovery of concealed data and a small reconstruction error for a sparse signal under the additive noise model. We propose an efficient Alternating Direction of Methods of Multiplier (ADMM) based decoding algorithm and we show through experimental results that proposed decoding scheme is more robust against additive noise compared to competing algorithms in the literature.

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