A new watermarking approach based on BP network in wavelet domain

This paper proposes a novel digital watermarking technique based on BP neural networks in wavelet domain. Firstly, the original image is decomposed by DTCWT, and then the watermark bits are added to the selected coefficients blocks. Because of the learning and adaptive capabilities of neural networks, the trained neural networks can recover the watermark from the watermarked images. Experimental results show that the proposed scheme has good performance against several attacks.