基于视觉特性和纹理特征的图像水印算法研究

申静

doi:10.3788/YJYXS20183306.0511

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基于视觉特性和纹理特征的图像水印算法研究

图像处理 | 更新时间：2020-07-06

- 基于视觉特性和纹理特征的图像水印算法研究
- Image watermarking algorithm based on the visual characteristics and the texture features
- 液晶与显示 2018年33卷第6期页码：511-519
- 作者机构：
  
  陕西理工大学数学与计算机科学学院, 陕西汉中 723000
- 作者简介：
  
  [ "申静(1981-), 女, 山东微山人，副教授, 硕士, 从事人工智能和图像处理方面的研究。E-mail:shenjingtg@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/YJYXS20183306.0511
  中图分类号： TP391;O432.3
- 收稿日期：2018-01-31，
  
  录用日期：2018-3-23，
  
  纸质出版日期：2018-06
- 稿件说明：
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申静. 基于视觉特性和纹理特征的图像水印算法研究[J]. 液晶与显示, 2018,33(6):511-519.

Jing SHEN. Image watermarking algorithm based on the visual characteristics and the texture features[J]. Chinese journal of liquid crystals and displays, 2018, 33(6): 511-519.
申静. 基于视觉特性和纹理特征的图像水印算法研究[J]. 液晶与显示, 2018,33(6):511-519. DOI： 10.3788/YJYXS20183306.0511.

Jing SHEN. Image watermarking algorithm based on the visual characteristics and the texture features[J]. Chinese journal of liquid crystals and displays, 2018, 33(6): 511-519. DOI： 10.3788/YJYXS20183306.0511.

摘要

利用人眼对比敏感度视觉特性和图像的纹理特征，提出了一种彩色图像的水印算法。算法首先依据图像的纹理特征，将图像进行分割；再将水印嵌入到图像纹理复杂的部分，并利用人眼对比敏感阈值控制水印的嵌入量，从而实现水印的嵌入；最后利用逆过程实现水印的提取。同时对3幅不同复杂纹理的图像进行仿真实验，并对3幅含水印图进行5种方式的攻击测试，且与近些年国内外报道的8种水印算法进行对比分析。结果表明，在中间剪切1/4区域、质量因子为20%的压缩和旋转90°较强的攻击下，提取水印的NC值和含水印图的SSIM值均仍能达到0.8以上，且比8种水印算法具有更好的鲁棒性。综合结果表明，在水印嵌入过程中，提出的算法能够有效解决水印容量与视觉透明性、鲁棒性之间的平衡，是一种行之有效的图像水印算法。

Abstract

Using the contrast sensitivity characteristics of human visual system (HVS) and the texture features of image

a watermarking algorithm for color images is proposed. In the algorithm

the image is firstly divided according to the texture features of image

then the watermark is embedded into the complex texture part of image

and the embedding amount of watermark is controlled by the contrast sensitivity threshold of HVS

which finish embedding the watermark. Finally

the watermark is extracted by the inverse process. Further

three images with different complex texture are carried out simulation

and three watermarked images are tested by 5 types of attacks. And this watermarking algorithm is compared with 8 ones reported in recent years. The results show that under the stronger attack

namely the intermediate 1/4 area of image is sheared

the compression quality factor is 20% and the image is rotated by 90°

the NC values of extracted watermarks and the SSIM values of image embedded watermark can still reach over 0.8

and it has better robustness than the reported 8 watermarking algorithms. The comprehensive results show that the proposed algorithm can effectively solve the balance between watermark capacity and visual transparency

robustness

which is an effective image watermarking algorithm.

关键词

Keywords

references

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