基于人眼对比敏感视觉特性的彩色图像盲水印算法

姚军财

doi:10.3788/YJYXS20173208.0642

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基于人眼对比敏感视觉特性的彩色图像盲水印算法

图像处理 | 更新时间：2020-08-12

- 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
- 液晶与显示 2017年32卷第8期页码：642-649
- 作者机构：
  
  陕西理工大学物理与电信工程学院, 陕西汉中 723000
- 作者简介：
  
  [ "姚军财(1979-), 男, 湖北黄冈人, 硕士, 副教授, 主要从事视觉光学和多媒体信号处理与通信方面的研究。E-mail:yjc4782@163.com" ]
- 基金信息：
  
  国家自然科学基金项目(61301237);陕西省科技新星计划项目(2015KJXX-42);陕西省教育厅专项科研项目(15JK1139);National Natural Science Foundation of China(61301237);Scientific and Technological New-star Plan of Shaanxi Province, China(2015KJXX-42);Specialized Research Foundation of Shaanxi Province Education Department, China(15JK1139)
- DOI：10.3788/YJYXS20173208.0642
  中图分类号： P391;O432.3
- 收稿日期：2017-03-31，
  
  录用日期：2017-5-9，
  
  纸质出版日期：2017-08-05
- 稿件说明：
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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.

Jun-cai Yao. Blind watermarking algorithm for colour image based on human visual contrast sensitivity characteristics[J]. Chinese journal of liquid crystals and displays, 2017, 32(8): 642-649.
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. DOI： 10.3788/YJYXS20173208.0642.

Jun-cai Yao. Blind watermarking algorithm for colour image based on human visual contrast sensitivity characteristics[J]. Chinese journal of liquid crystals and displays, 2017, 32(8): 642-649. DOI： 10.3788/YJYXS20173208.0642.

摘要

为了解决水印透明性、鲁棒性与水印容量之间的平衡问题，结合人眼对比敏感度视觉特性，提出了一种彩色图像的盲水印算法。算法首先结合人眼对比敏感度视觉特性及其模型，在频域中计算人眼感知原始图像的对比敏感度阈值|其次结合人眼对强度的感知模型，计算水印图像信息的强度感知值|然后结合嵌入强度系数值，以感知原始图像的对比敏感度阈值为水印嵌入量的门限，实现数字水印的嵌入|最后依据密钥，采用逆过程提取水印。实验结果表明，在压缩质量因子为20%、中间剪切1/4区域的较强攻击下，提取水印与原水印的相似度达到0.78以上，且保证了较好的水印透明性。

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

Keywords

references

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