on the basis of the visual masking of human visual system, the watermark can be adaptively embedded into host image in the wavelet domain by using group quantization in our algorithm.
以人眼视觉系统的掩蔽特性为基础,提出了一种基于分组量化的自适应半脆弱水印嵌入方案,该方案能够在不参考原始载体的情况下对数字图像同时进行版权保护和内容认证。
by exploiting and depending on the feature of visual masking of human vision system, watermark components with different strength are embedded into different wavelet coefficients.
为克服这个问题,该文将水印嵌入到视觉不敏感的位置,并且根据视觉系统纹理掩蔽特性,将不同强度的水印分量嵌入到不同的小波系数中。
secondly, a quantization matrix related to image's gray value is corrected utilizing the visual masking in dct domain, making the watermark adaptively embed into the least sensitive part;
在嵌入算法中利用dct域的视觉掩盖特性,修正了一个与图像灰度值有关的量化矩阵,使得水印自适应地嵌入到原始图像中人眼较为不敏感的部分;
a visual masking model is presented by analyzing the human visual characteristics, then embeds watermark in the typical image of 「lena」 by low frequency coefficient of dct.
通过分析人的视觉特性提出一种视觉掩盖模型,得到该模型水印嵌入算法和水印检测算法。
applying this embedding strategy, an adaptive watermarking algorithm incorporating the feature of visual masking of human vision system is presented.
应用这个对策,本文提出了一个把视觉系统纹理掩蔽特性结合到水印编码过程的自适应水印算法。
aiming at different quality effects on different image region and distortion type, we take full advantage of the visual masking effect and proposed a new weighted idea.
充分利用人眼视觉掩盖效应,针对不同的失真类型对于图像不同的内容具有不同的质量影响,提出了一种新的加权策略。