摘要
在Chen和Chang提出的零水印算法基础上,结合人眼的视觉感知特征与图像综合特征,提出了一种基于图像综合特征的零水印算法。本算法利用均值法得到原图像的低尺度近似图像,根据人眼视觉系统(HVS)的感知特性获取低尺度近似图像的综合特征。通过对比Chen、Chang和本文算法在不同类型信号处理攻击下的性能,得出本文算法在各种信号处理攻击下具有良好的鲁棒性,并通过仿真实验结果验证了本文算法的性能。
A new zero-watermark algorithm based on joint feature of digital image on the basis of Chen and Chang＇s zerowatermark algorithms is proposed combining the human visual system and the digital image joint feature. The algorithm obtained the low scale approximate image of the original image by using the mean method, and got the comprehensive features of the low scale approximate image according to the perceptual features of the human visual system （HVS）. By comparing with Chen and Chang＇s algorithms＇ in the signal processing attack, the proposed algorithm has the better robustness under various signal processing attacks and the performance of the proposed algorithm is verified by simulation experiments.
出处
《天津职业技术师范大学学报》
2015年第2期43-47,共5页
Journal of Tianjin University of Technology and Education
关键词
零水印
人眼视觉系统
综合特征
鲁棒性
zero-watermark
human visual system
joint feature
robustness
