Wavelet based Watermarking approach in the Compressive Sensing Scenario

TL;DR

This paper proposes a wavelet-based digital watermarking method within the compressive sensing framework, analyzing its robustness against various attacks and evaluating image quality through PSNR.

Contribution

It introduces a novel watermarking approach using Haar wavelet decomposition in compressive sensing scenarios, assessing robustness and image quality.

Findings

Watermark detection remains feasible under compressive sensing attacks.

Reconstructed image quality varies with the number of available coefficients.

The method demonstrates robustness against common signal processing attacks.

Abstract

Due to the wide distribution and usage of digital media, an important issue is protection of the digital content. There is a number of algorithms and techniques developed for the digital watermarking.In this paper, the invisible image watermark procedure is considered. Watermark is created as a pseudo random sequence, embedded in the certain region of the image, obtained using Haar wavelet decomposition. Generally, the watermarking procedure should be robust to the various attacks-filtering, noise etc. Here we assume the Compressive sensing scenario as a new signal processing technique that may influence the robustness. The focus of this paper was the possibility of the watermark detection under Compressive Sensing attack with different number of available image coefficients. The quality of the reconstructed images has been evaluated using Peak Signal to Noise Ratio (PSNR).The theory is supported with experimental results.