DCT变换域盲图像水印的自适应检测

ADAPTIVE DETECTION FOR BLIND IMAGE WATERMARKING IN DCT DOMAIN

检测时无需原始图像的盲数字水印是实用的数字作品版权保护系统的关键技术之一．基于图像ＤＣＴ交流系数的广义高斯分布模型，推导并实现了一种有效的自适应盲图像水印检测器．通过计算渐进相对效率证明了该检测器具有较高的检测效率．实验结果表明该检测器具有良好的鲁棒性，优于Ｂａｒｎｉ的线性相关检测器．

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.