基于视觉特性的半脆弱水印算法  

Semi-fragile image watermarking algorithm based on visual features

作　　者：车生兵[1] 黄达[1] 李光[1] 

机构地区：[1]中南林业科技大学计算机科学学院,湖南长沙410004

出　　处：《通信学报》2007年第10期134-140,共7页Journal on Communications

基　　金：国家自然科学基金资助项目(60373000);中南林业科技大学科学基金资助项目(061018B;06Y003;07007A)~~

摘　　要：提出了DWT(离散小波变换)变换域中基于人眼视觉特性模型的特征参数及其表示方法以及适用于一般变换域参数调整的量化中心极限定理,使得在动态量化过程中嵌入的半脆弱水印能够达到最大的顽健性。实验表明,算法生成的载体图像透明性好,对常见的JPEG压缩、噪声迭加和平滑滤波等图像处理操作具有较好的顽健性,而且可嵌入的水印信息量大,并能准确确定恶意攻击的位置。The characteristic and its representation in DWT transform domain based on visual features model were brught up, and it was put forward the quantized central limit theorem which was appliesd to adjusting the coefficients in general transform domain. These all make semi-fragile watermarking embedded through dynamic quantization achieve the greatest robustness. It leads up to a better invisibility of carrier image, a better robustness to the image processing, such as JPEG compression, noise adding, filtering, and the larger amount of embedded information. What＇s more, it can ascertain the position of vicious attack exactly.

关 键 词：半脆弱水印 视觉特性模型 量化中心极限定理 动态量化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]