Abstract: A new watermarking algorithm scheme was presented based on normalization and nonsubsampled Contourlet transform knowledge, extracting low frequency sub-band of the image with nonsubsampled Contourlet transform, and then embedding the low frequency sub-band in a significant region for normalization according to the human visual system (HVS) and the correlation between the coefficients of the embedded watermark before and after. Without the aid of the original image, the watermark can be extracted and the real blind detection can be realized. The experimental results show that, the proposed watermarking algorithm has the best resistance to shift transform, and has the better resistance to rotation and zoom. After JPEG compression, the digital watermark is not distorted.