基于深度图绘制3D图像的水印技术

崔晨; 王莘; 李琼

doi:10.11959/j.issn.2096-109x.2016.00052

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基于深度图绘制3D图像的水印技术

学术论文 | 更新时间：2024-06-03

- 基于深度图绘制3D图像的水印技术
- Novel watermarking based on DIBR 3D image
- 网络与信息安全学报 2016年2卷第5期页码：50-55
- 作者机构：
- 作者简介：
  
  [ "崔晨（1983-），男，黑龙江牡丹江人，哈尔滨工业大学博士生，主要研究方向为信息安全、信息隐藏、感知散列。" ]
  [ "王莘（1980-），男，黑龙江哈尔滨人，博士，哈尔滨工业大学讲师，主要研究方向为信息对抗、量子计算、多媒体安全。" ]
  [ "李琼（1976-），女，湖南桂阳人，博士，哈尔滨工业大学副教授、博士生导师，主要研究方向为量子保密通信后处理、生物信息识别及安全、多媒体安全。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61100187);国家自然科学基金资助项目;The National Natural Science Foundation of China(61301099)
- DOI：10.11959/j.issn.2096-109x.2016.00052
  中图分类号： TP393
- 网络首发：2016-05，
  
  纸质出版：2016-05-15
- 稿件说明：
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崔晨, 王莘, 李琼. 基于深度图绘制3D图像的水印技术[J]. 网络与信息安全学报, 2016,2(5):50-55.

Chen CUI, Shen WANG, Qiong LI. Novel watermarking based on DIBR 3D image[J]. Chinese Journal of Network and Information Security, 2016, 2(5): 50-55.
崔晨, 王莘, 李琼. 基于深度图绘制3D图像的水印技术[J]. 网络与信息安全学报, 2016,2(5):50-55. DOI： 10.11959/j.issn.2096-109x.2016.00052.

Chen CUI, Shen WANG, Qiong LI. Novel watermarking based on DIBR 3D image[J]. Chinese Journal of Network and Information Security, 2016, 2(5): 50-55. DOI： 10.11959/j.issn.2096-109x.2016.00052.

摘要

摘要：由于基于深度图绘制的虚拟视点技术具有的独特优势，越来越多的3D产品版权保护问题受到极大的夫注。不同于传统 2D 图像的水印技术，在基于深度图绘制的 3D 图像里，不仅需要通过嵌入水印来保护中间图像，而且需要保护左右眼虚拟图像。通过对中间图像进行3层小波变换后，利用奇偶量化方式来修改每个子分块的小波系数，实现了中间图像的水印信息嵌入。嵌入的水印可以从中间图像以及左右眼虚拟图像中提取出来。实验表明，所提水印算法对常见的信号失真攻击具有良好的顽健性。

Abstract

Depth-image-based rendering (DIBR) has become an important technology in 3D displaying with its great advantages.As a result

more and more 3D products copyright problems turn out.Since either the center view with depth image or the synthesized virtual views could be illegally distributed

not only the center views but also the synthesized virtual views need to be protected.A watermarking method for DIBR 3D images was proposed.After applying three-level DWT to the center image

odd-even quantization was utilized to modify the coefficients of the sub-blocks of the center image

by this way the proposed method was made robust to typical signal distortions

such as JPEG compression

noise addition and median filter.As the experimental results shown

the proposed method is much more robust to the common signal distortion attacks with lower BER (bit error rate) compared with existing methods.

关键词

Keywords

references

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