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

uated 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.