【摘要】 在水印图像是均值为零的随机二值序列、原始图像是服从Weibull分布 (具有参数α和 β)的独立同分布随机序列的条件下 ,对于原始灰度图像 ,水印嵌入强度的估计问题可归结为对隐秘图像和原始图像灰度平均值的简单计算的问题 提出矩估计方法 ,实验结果证实了该方法的有效性 对加法、乘法和融合三种嵌入规则的性能进行了比较和分析 ,所获得的结论对今后的研究有意义更多还原

【Abstract】 Under the assumptions that gray scale watermark data may be summarized as a known, zero mean, binary valued sequence and the original image data as an independently and identically distributed random sequence from a Weibull distribution, we show that this embedding strength should be estimated through simple computations based on the average gray scales of both the watermarked image and original image An approach based on moment estimation is presented Experimental results show that this approach is effective for De Rosa et al ’s watermark detector Moreover, according to the embedding rules of addition, multiplication and fusion, we also compared and analyzed their performance using PSNR Conclusions obtained from experiments are useful to the further research更多还原