摘要
结合人类视觉特征,本文提出一种基于熵的静止灰度图像的非盲水印在小波域中应用的方法。该方案能够产生高效的数字水印。对原始图像进行三级小波分解,将标志性图像经过PN序列扰乱后嵌入其中。使用基于熵的方法来选择DWT系数,通过自适应方法来决定嵌入水印的系数的数量以及DWT分解后每一层的水印因子。该方案产生的水印几乎能抵抗所有水印文献中所涉及到的攻击。最后的检测结果表明与现在有的方法相比,它有更好的抗攻击性。对方案进行简单的修改,它可应用于彩色图像和实时系统中。
A new approach for non-blind watermarking of still gray level images in the wavelet domain. The method uses the Human Visual System （HVS） characteristic, and an innovative entropy based approach to create an efficient watermarking scheme is presented in this paper. It decomposes original image in DWT domain in to three hierarchical levels and watermarks it with a logo image, which is scrambled through a well-known PN-sequence. An entropy-based method is developed for selection of DWT coefficients that provides an adaptive way for determining the number of watermarked coefficients and watermarking factor at each level of DWT decomposition. This approach shows an excellent resistance against almost all the attacks known in the watermarking literature. The detection results of the method reveal better resistance in comparison to the existance methods.With simple modifications, the method can be used for color images and in real time systems.
出处
《微计算机信息》
北大核心
2007年第36期306-308,共3页
Control & Automation
