ADAPTIVE DETECTION FOR BLIND IMAGE WATERMARKING IN DCT DOMAIN

Blind image digital watermarking, which can detect watermark without using the original image, is a key technique for practical intellectual property protecting system. In this paper, Based on the general Gauss distribution model of DCT AC coefficient, an adaptive blind watermark detector is deduced and implemented. The computing result of asymptotic relative efficiency demonstrates the effectiveness of the detector. A series of experimental results show that it has more robustness than the linear correlation detector.