计算机应用研究2016，Vol.33Issue(11)：3464-3467,4.DOI:10.3969/j.issn.1001--3695.2016.11.058
一种基于顺序QR分解和AdaBoost分类器的盲水印算法
New blind watermarking algorithm based on sorted QR decomposition and AdaBoost classifier
摘要
Abstract
This paper presented a novel intelligent watermarking algorithm based on sorted QR decomposition and AdaBoost classifier.For embedding watermark,this algorithm decomposed a matrix by sorted QR decomposition and extracted diagonal el-ements of R matrix to construct feature vectors of samples.For extracting watermark,it used AdaBoost classifier to classify the feature vectors of detected samples.Experimental results shows that the proposed solution can not only resist noise-like attacks such as noise,filtering and compression,but also resist geometric distortion such as cutting and rotating.关键词
数字水印/排序QR分解/AdaBoost分类器/几何失真Key words
digital watermarking/sorted QR decomposition/AdaBoost classifier/geometric distortion分类
信息技术与安全科学引用本文复制引用
巫朝霞,郑盼盼..一种基于顺序QR分解和AdaBoost分类器的盲水印算法[J].计算机应用研究,2016,33(11):3464-3467,4.基金项目
新疆自然科学基金资助项目 （）
