信息隐藏算法中的去噪

Denoising in Information Hiding Algorithms

指出了信息隐藏算法中去噪的意义和该算法中去噪与一般意义下去噪的不同点 ,然后讨论了各种滤波对图像去噪的性能 ,最后提出了 2种与尺度有关的小波域自适应去噪算法。大量的实验结果和进一步的分析表明 :在信息隐藏算法中 ,维纳滤波较具优越性 ;均方误差不能作为信息隐藏算法中滤波器去噪性能的度量。

The significance of denoising in hiding information algorithms, and the difference between denosing in these algorithms and denoising in general are pointed out. The denoising abilities of some filters are discussed. Two wavelet level_dependent thresholding schemes are proposed. Experiments and analysis show that, for hiding information algorithms, the Winner filtering is superior to other filterings, while mean square error can not be a measurement.