基于ESPIHT的分块DWT域图像水印研究  

Study on Image Watermarking in DWT Domain Based on ESPIHT Algorithm

作　　者：臧景峰[1] 朴燕[1] 杨立波[1] 王宇[1] 朱一峰[1] 

机构地区：[1]长春理工大学电子信息工程学院,长春130022

出　　处：《长春理工大学学报（自然科学版）》2009年第1期88-90,共3页Journal of Changchun University of Science and Technology(Natural Science Edition)

基　　金：长春市科技计划项目(05GG10)

摘　　要：提出一种鲁棒的基于扩展嵌入零树小波图像编码(ESPIHT)的分块DWT的图像水印技术。算法以一幅有意义的二值图像为水印,在充分考虑人类视觉系统(HVS)屏蔽特性的基础上,利用了Hilbert扫描,能很好地保持图像空间局部特性的特点,在结合各块视觉阈值的基础上,通过调整图像分块的Hilbert序列中相邻对应细节子带均值之间的大小关系,以自适应地嵌入水印信号,真正实现了盲水印提取。实验结果表明,该算法较好地解决了水印透明性与鲁棒性之间的矛盾,对通常的图像处理操作和裁剪、挤压、像素移位等几何攻击有较强的鲁棒性且具有很好的透明性。In the paper, we propose a robust image watermarking technology in DWT domain based on ESPIHT algorithm （ extended set partitioning in hierarchical trees ） . By taking into account sufficiently in the masking characteristics of the human visual system, two neighboring blocks are selected from the Hilbert sequence of the host image blocks in turn, and it is designed to improve on two important issues of digital watermarking. One is the requirement of robustness, the other is watermark detection. A binary image watermark is embedded into the host image by modifying the polarity of the average value of the two corresponding subbands. As a result, the experiment shows the presented algorithm is effective and robust to common image processing operations and some distortions such as cropping, pinching, pixel-shift and so on.

关 键 词：图象水印 ESPIHT DWT HVS 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]