首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波域HMM模型的自适应图像水印算法
引用本文:张荣跃, 倪江群, 黄继武. 基于小波域HMM模型的自适应图像水印算法. 自动化学报, 2005, 31(5): 705-712.
作者姓名:张荣跃  倪江群  黄继武
作者单位:1.Department of Electronic and Communication Engineering, Sun Yat-Sen University, Guangzhou 510275
基金项目:Supported by National Natural Science Foundation of P. R. China (60133030, 60172067), Foundation of National Education Ministry of P. R. China
摘    要:An adaptive image watermarking algorithm based on HMM in wavelet domain is proposed. The algorithm is abstracted as follows: 1) the vector HMM model is employed to describe the statistical characteristic of image wavelet coefficients and the resulting HMM based detector achieves significant improvements in performance compared to the conventional correlation detector; 2) adaptive watermark embedding based on HVS analysis; 3) a novel embedding strategy which is optimized for the HMM tree structure is adopted; 4) the strategy of dynamical threshold is applied in watermark detection. High robust results are achieved against Stirmark attacks, such as JPEG compression, adding noise, median cut and filter.

关 键 词:Watermark   hidden markov model (HMM)   blind detection   HVS
收稿时间:2003-11-26
修稿时间:2005-06-26

An Adaptive Image Watermarking Algorithm Based on HMM in Wavelet Domain
ZHANG Rong-Yue, Ni Jiang-Qun, HUANG Ji-Wu. An Adaptive Image Watermarking Algorithm Based on HMM in Wavelet Domain. ACTA AUTOMATICA SINICA, 2005, 31(5): 705-712.
Authors:ZHANG Rong-yue  Ni Jiang-Qun  HUANG Ji-wu
Affiliation:1. Department of Electronic and Communication Engineering, Sun Yat-Sen University, Guangzhou 510275
Abstract:An adaptive image watermarking algorithm based on HMM in wavelet domain is pro- posed.The algorithm is abstracted as follows:1)the vector HMM model is employed to describe the statistical characteristic of image wavelet coefficients and the resulting HMM based detector achieves significant improvements in performance compared to the conventional correlation detector; 2)adaptive watermark embedding based on HVS analysis;3)a novel embedding strategy which is optimized for the HMM tree structure is adopted;4)the strategy of dynamical threshold is applied in watermark detection.High robust results are achieved against Stirmark attacks,such as JPEG compression,adding noise,median cut and filter.
Keywords:Watermark  hidden markov model(HMM)  blind detection  HVS
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《自动化学报》浏览原始摘要信息
点击此处可从《自动化学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号