基于非抽样Contourlet变换的高定位精度认证水印算法

J4 ›› 2011, Vol. 24 ›› Issue (1): 81-85.

基于非抽样Contourlet变换的高定位精度认证水印算法

刘东彦, 孙继昌, 刘岩, 汤永佐

山东省海洋环境监测技术重点实验室，山东省科学院海洋仪器仪表研究所，山东青岛 266001

出版日期:2011-02-20 发布日期:2011-02-20

A nonsubsampled contourlet transform based adaptive watermarking algorithm for image authentification

LIU Dong-Yan, SUN Ji-Chang, LIU Yan, TANG Yong-Zuo

Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology, Institute of Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao 266001, China

Online:2011-02-20 Published:2011-02-20

摘要/Abstract

摘要：

本文提出了一种基于非抽样Contourlet变换的高定位精度图像自适应认证水印算法。对原始图像进行非抽样Contourlet变换，选取低频子图分块后进行奇异值分解，通过自适应量化修改奇异值嵌入经混沌置乱后的二值水印信息。整个分解过程没有任何抽样环节，各尺度下各方向子带均与原始图像具有相同的尺寸，从而提高了篡改定位的精度，增加了水印的嵌入量。水印的提取只需要由混沌初值和量化参数构成的密钥，保证了算法的安全性。同时该水印算法对JPEG压缩稳健，对恶意操作敏感。

关键词: 水印, 认证, 非抽样Contourlet变换, 奇异值分解

Abstract:

We present a semifragile nonsubsampled contourlet transform (NSCT) based watermarking algorithm for image authentification. We embed watermark in the singular values (SVs) of the blocks within lowfrequency subbands of NSCT by an adaptive quantization method. Watermark extraction is available only with a key constructed by chaotic signal initial value and quantization parameters. Subbands of individual scale and individual direction all have the same size as those of the original image. This algorithm can improve the tampering localization capability without causing remarkable manmade trace. Experimental results show that this algorithm is robust to JPEG compression but extremely sensitive to malicious operations.

Key words: watermark, authentification, nonsubsampled contourlet transform, single value decomposition

中图分类号:

TP309.7

刘东彦, 孙继昌, 刘岩, 汤永佐. 基于非抽样Contourlet变换的高定位精度认证水印算法[J]. J4, 2011, 24(1): 81-85.

LIU Dong-Yan, SUN Ji-Chang, LIU Yan, TANG Yong-Zuo. A nonsubsampled contourlet transform based adaptive watermarking algorithm for image authentification[J]. J4, 2011, 24(1): 81-85.