In image watermarking

the watermark robustness to geometric transformations is still an open question. Using invariant image features to carry the watermark is an effective approach to address this problem. In this paper

a geometrically robust image watermarking algorithm using image normalization and wavelet moments is proposed. The geometrically invariant space is constructed by using image normalization. Some wavelet moments of the normalized image are selected

and their magnitudes are dither-modulated to embed the digital watermark. The watermarked image is obtained via reconstruction from the modified moments. Simulation results show that the hidden message can be decoded at low error rates

robust against image rotation

scaling and translation

and as well

a variety of other distortions such as lossy compression.