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Due to the wide distribution and usage of digital media, an important issueis protection of the digital content. There is a number of algorithms andtechniques developed for the digital watermarking.In this paper, the invisibleimage watermark procedure is considered. Watermark is created as a pseudorandom sequence, embedded in the certain region of the image, obtained usingHaar wavelet decomposition. Generally, the watermarking procedure should berobust to the various attacks-filtering, noise etc. Here we assume theCompressive sensing scenario as a new signal processing technique that mayinfluence the robustness. The focus of this paper was the possibility of thewatermark detection under Compressive Sensing attack with different number ofavailable image coefficients. The quality of the reconstructed images has beenevaluated using Peak Signal to Noise Ratio (PSNR).The theory is supported withexperimental results.

Wavelet based Watermarking approach in the Compressive Sensing Scenario