摘要
针对现有盲水印算法嵌入量少,鲁棒性不高的弱点,提出一种新的基于DWT低频域的图像盲水印算法。该算法最主要的特点是能根据嵌入图被破坏后的状态自动调整提取强度以获得最好的提取效果。实验证明,该算法对常见的图像失真处理均具有很好的鲁棒性。
To overcome the weakness of little embedding capacity and faintish robustness in the present blind watermarking algorithms, a new blind watermarking algorithm based on the lowest frenquency domain of discrete wavelet transform is proposed. In this scheme, extracting intensity can be adjusted adaptively according to the damage of the embedded image. Experimental results show that the algorithm is robust against most common distortions.
出处
《计算机应用与软件》
CSCD
北大核心
2007年第7期33-35,共3页
Computer Applications and Software
基金
国家自然科学基金项目(60403045)
测绘遥感信息工程国家重点实验室基金(WKL(03)0101)。
关键词
DWT
盲算法
HVS
提取强度
Discrete wavelet transform Blind algorithm Human visual system Extracting intensity