Compressive Sensing as a watermarking attack

The performance of watermark detection under Compressive Sensing (CS) attack is analyzed in the paper. Watermark is created as a pseudorandom sequence and it is embedded into the DCT image coefficients. CS, as method that provides reconstruction of the signals with small number of samples, is used as watermarking attack. Reconstruction procedure assumes certain number of low frequency DCT coefficients, as well as certain number of randomly chosen middle and high frequency DCT coefficients. It is shown that CS can provide good quality image reconstruction with reduced number of samples and, at the same time, to remove the watermark. The theory is supported by experimental results.