计算机科学 ›› 2017, Vol. 44 ›› Issue (12): 100-104.doi: 10.11896/j.issn.1002-137X.2017.12.020
张正伟,吴礼发,严云洋
ZHANG Zheng-wei, WU Li-fa and YAN Yun-yang
摘要： 针对现有可逆图像水印算法中嵌入量与图像视觉质量之间的矛盾,提出了一种基于多尺度分解与预测误差扩展的可逆图像水印算法。首先,对原始图像进行多尺度分解,将其分解为同质块和非同质块；其次,通过对同质块进行预测误差扩展来嵌入水印信息；最后,通过计算非同质块信息熵,根据嵌入水印信息量选择合适的非同质块,通过对选取的非同质块进行整数小波变换,在中高频中嵌入剩余水印信息。实验结果表明,该算法易于实现且完全可逆,能有效提高水印嵌入量,具有较高的视觉质量。
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