摘要
对Inoue提出的基于零树小波编码的水印算法进行了改进,提出了基于人眼视觉特性和零树小波编码的二值图像水印算法。该算法对图像和图像块进行分类,设置不同的视觉权值,并根据重要小波系数和纹理掩蔽函数嵌入水印。在C++ Builder6.0中对水印算法进行了测试。实验结果表明该算法具有较强的鲁棒性,当加入水印后的图像经过常规的信号处理后,该算法仍能够检测到水印的存在。并且该算法有较强的抵抗JPEG压缩攻击能力,对噪声、滤波等图像处理操作也取得了良好的鲁棒性。
The algorithm of zerotree wavelet coding proposed by Inoue is improved. A new binary image water-marking algorithm based on the human visual characteristics and embedded zerotree wavelet coding is proposed. It classifies the image and image blocks and sets the different visual weight. According to the important wavelet coefficients and texture masking function,the watermarking is embedded. This algorithm is tested in C＋ ＋ Builder 6.0. From the experimental conclusion the algorithm has strong robustness. The algorithm can extract an effective watermarking after the image is processed by general signal. The experimental results show that this algorithm is robust against JPEG compression, image processing and attack such as noise, filtering etc.
出处
《微电子学与计算机》
CSCD
北大核心
2008年第2期148-150,153,共4页
Microelectronics & Computer
基金
江西省重点工业攻关项目(20051B01005)
关键词
离散小波变换
人眼视觉模型
数字水印
零数小波
鲁棒性
discrete wavelet transform （DWT）
human visual system （HVS）
digital watermark
embedded zerotree wavelet（EZW）
robustness
