基于稳健特征点的平稳小波域数字水印算法

牛盼盼; 杨思宇; 王丽; 杨红颖; 李丽; 王向阳

doi:10.11959/j.issn.1000-436x.2019228

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基于稳健特征点的平稳小波域数字水印算法

学术通信 | 更新时间：2024-06-05

- 基于稳健特征点的平稳小波域数字水印算法
- Digital watermarking algorithm in SWT domain based on robust local feature
- 通信学报 2019年40卷第11期页码：187-198
- 作者机构：
  
  1. 辽宁师范大学计算机与信息技术学院，辽宁大连 116029
  2. 大连理工大学电子信息与电气工程学部，辽宁大连 116023
- 作者简介：
  
  [ "牛盼盼（1983- ），女，辽宁大连人，博士，辽宁师范大学副教授，主要研究方向为网络信息安全、图像处理等。" ]
  [ "杨思宇（1995- ），女，辽宁铁岭人，辽宁师范大学硕士生，主要研究方向为信息隐藏与数字水印。" ]
  [ "王丽（1996- ），女，辽宁大连人，辽宁师范大学硕士生，主要研究方向为信息隐藏与数字水印。" ]
  [ "杨红颖（1965- ），女，辽宁大连人，辽宁师范大学教授，主要研究方向为多媒体信息安全、图像处理等。" ]
  [ "李丽（1992- ），女，辽宁大连人，辽宁师范大学硕士生，主要研究方向为图像处理与数字水印。" ]
  [ "王向阳（1965- ），男，辽宁大连人，辽宁师范大学教授，主要研究方向为网络信息安全、智能多媒体计算等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61472171);国家自然科学基金资助项目(61701212);中国博士后科学基金资助项目(2018T110220);辽宁省教育厅科学研究经费基金资助项目项目（重点攻关）(LZ2019001);辽宁省自然科学基金资助项目(2019-ZD-0468)
- DOI：10.11959/j.issn.1000-436x.2019228
  中图分类号： TP391
- 网络出版日期：2019-11，
  
  纸质出版日期：2019-11-25
- 稿件说明：
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牛盼盼, 杨思宇, 王丽, 等. 基于稳健特征点的平稳小波域数字水印算法[J]. 通信学报, 2019,40(11):187-198.

Panpan NIU, Siyu YANG, Li WANG, et al. Digital watermarking algorithm in SWT domain based on robust local feature[J]. Journal on communications, 2019, 40(11): 187-198.
牛盼盼, 杨思宇, 王丽, 等. 基于稳健特征点的平稳小波域数字水印算法[J]. 通信学报, 2019,40(11):187-198. DOI： 10.11959/j.issn.1000-436x.2019228.

Panpan NIU, Siyu YANG, Li WANG, et al. Digital watermarking algorithm in SWT domain based on robust local feature[J]. Journal on communications, 2019, 40(11): 187-198. DOI： 10.11959/j.issn.1000-436x.2019228.

摘要

基于目前绝大多数数字音频水印方案仅仅能够对抗简单的常规信号处理，尚无法有效抵抗破坏性较强的局部去同步攻击，提出了一种基于稳健特征点的平稳小波域数字音频水印算法。首先利用高斯滤波技术计算出平稳小波域低频子带的一阶平滑梯度响应并确定基准阈值，进而提取出分布均匀且性能稳定的音频特征点；然后结合短时能量自适应确定适合于水印嵌入的局部特征音频段；最后利用扩展抖动调制方法将水印信息嵌入局部特征音频段中。仿真实验结果证明，所提算法具有较好的不可感知性，并且对常规信号处理（MP3压缩等）和去同步攻击（音调伸缩等）均具有较好的稳健性。利用描述能力强且性能稳定的平滑梯度刻画局部数字音频性质，提出一种基于平滑梯度的平稳小波域音频特征点提取方法，有效解决音频特征点稳定性差且分布极不均匀的缺点，提高了数字音频水印对幅度伸缩、局部变调、随机剪切等去同步攻击的抵抗能力。

Abstract

Aiming at the challenging work to design a robust digital audio watermarking algorithm against desynchronization attacks

a new second generation digital audio watermarking in stationary wavelet transform (SWT) domain based on robust local audio feature was proposed.First

the first-order smooth gradient response of the low-pass sub-band coefficient was calculated using Gaussian filter.Then

the short-term energy was utilized to adaptively determine local feature audio segments for embedding.Finally

the watermark information was embedded into local feature audio segments with spread transform dither modulation.The experimental results show that the proposed approach has not only good transparency

but also has strong robustness against common audio processing such as MP3 compression and good robustness against the desynchronization attacks such as pitch-scale modification et al.A SWT domain audio feature point extraction method based on smooth gradient is proposed

which effectively solves the drawbacks of poor stability and uneven distribution of audio feature points

and improves the resistance of digital audio watermarks to amplitude-scale modification

pitch-scale modification

random cropping

and jittering attacks.

关键词

Keywords

references

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性能优越的混合域数字音频盲水印算法