液晶与显示2017，Vol.32Issue(8)：642-649,8.DOI:10.3788/YJYXS20173208.0642
基于人眼对比敏感视觉特性的彩色图像盲水印算法
Blind watermarking algorithm for colour image based on human visual contrast sensitivity characteristics
摘要
Abstract
Aiming at the balance between watermarking transparency, robustness and watermarking capacity, a blind watermarking algorithm for color images is proposed based on the contrast sensitivity characteristics of human visual system (HVS) in this paper. In this algorithm, firstly, according to the contrast sensitivity characteristics of HVS and its calculation models, the contrast sensitivity thresholds from HVS perceiving the original image are calculated in the frequency field. And combined with the strength perception model of HVS, the perceived strengths of the watermarking images are calculated. Then according to the coefficients of embedding strengths, the digital watermarkings are embedded by taking the contrast sensitivity perceived original images as the thresholds of the watermarkings embedding quantity. Finally, based on the key, the inverse process is carried out to extract the watermarkings. The experimental results show that under the strong attack that the watermarked image is compressed by quality factor 20% and 1/4 size is sheared in the intermediate region of image, the similarity between the original watermarking and the extracted watermarking can reach more than 0.78. And the proposed watermarking algorithm has good transparency.关键词
盲水印/彩色图像/人眼视觉特性/空间频率Key words
blind watermarking/color image/human visual characteristics/spatial frequency分类
天文与地球科学引用本文复制引用
姚军财..基于人眼对比敏感视觉特性的彩色图像盲水印算法[J].液晶与显示,2017,32(8):642-649,8.基金项目
国家自然科学基金项目(No.61301237) （No.61301237）
陕西省科技新星计划项目(No.2015KJXX-42)和陕西省教育厅专项科研项目(No.15JK1139)Supported by National Natural Science Foundation of China(No.61301237) （No.2015KJXX-42）
Scientific and Technological New-star Plan of Shaanxi Province, China(No.2015KJXX-42) （No.2015KJXX-42）
Specialized Research Foundation of Shaanxi Province Education Department, China(No.15JK1139) （No.15JK1139）
