Robust image watermarking using tetrolet transform

This paper proposes new watermarking technique based on tetrolet domain. The tetrolet transform is a new adaptive Haar-type wavelet transform based on tetrominoes. It avoids Gibbs oscillation because it applies the Haar function at the edge of the image. Our proposed watermarking algorithm embeds the watermark into the tetrolet coefficients which are selected by considering different of shapes tetrominoes. We evaluated the effectiveness of the watermarking approach by considering the quality metrics like RMSE, PSNR and Robustness parameters. The experimental results reveal that the proposed watermarking scheme is robust against common image processing attacks.