Blind image digital watermarking, which can detect watermark without using the original image, is a key technique for the practical intellectual property protecting system. For its good performance in image analysis and image compression, wavelet based digital watermark algorithm has become the mainstream in the digital watermark research. Based on the local Gaussian model of wavelet coefficients, we propose a new blind watermark detector. A series of experimental results show that it is more robust than linear correlation detector.