摘要
本文提出了一种基于共轭对称列率复数哈达码变换(CS-SCHT)的鲁棒水印算法.在水印嵌入时,选择图像的CS-SCHT系数幅度作为水印载体,同时设计一种新的人眼视觉系统改善含水印图像的不可见性.检测时,运用Kolmogorov-Smirno方法估计系数幅度的近似分布.然后根据该分布构造局部最优检测器.实验表明该变换适合于水印领域,新检测器具有良好的鲁棒性,且人眼视觉系统能够改善含水印图像的视觉质量.
A new robust watermarking algorithm based on conjugate symmetric sequency-ordered complex Hadamard transform（CS-SCHT） is proposed in this paper.At the phase of embedding,the magnitude of the CS-SCHT coefficients of host image is selected as support of watermark,and a new human visual system is designed to improve the invisibility of marked image.Kolmogorov-Smirno method is used to estimate the approximate distribution of the coefficients＇ magnitude,and then a locally optimal detector is constructed based on the approximate distribution.Experimental results show that the CS-SCHT is suitable for watermark application,and the proposed detector and human visual system can provide good performance.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2013年第8期1574-1579,共6页
Acta Electronica Sinica
基金
国家重点基础研究发展计划(No.2011CB707904)
国家自然科学基金(No.61073138
No.61271312
No.61201344
No.60911130370)
教育部博士点基金(No.20110092110023
No.20120092120036)
江苏省自然科学基金(No.BK2012329)
江苏省六大人才高峰资助项目(No.DZXX-031)
关键词
共轭对称列率复数哈达码变换
人眼视觉系统
检测
近似分布
局部最优检测器
conjugate symmetric sequency-ordered complex hadamard transform
human visual system
detection
approximate distribution
locally optimal detector
