基于深度图的3D-HEVC鲁棒视频水印算法

doi:10.11772/j.issn.1001-9081.2018081676

计算机应用 ›› 2019, Vol. 39 ›› Issue (3): 869-873.DOI: 10.11772/j.issn.1001-9081.2018081676

• 虚拟现实与多媒体计算 • 上一篇下一篇

基于深度图的3D-HEVC鲁棒视频水印算法

曹海燕, 冯桂, 韩雪, 方定邦, 黄鑫达

华侨大学信息科学与工程学院, 福建厦门 361021

收稿日期:2018-08-13 修回日期:2018-10-19 出版日期:2019-03-10 发布日期:2019-03-11
通讯作者: 冯桂
作者简介:曹海燕(1994-),女,湖北麻城人,硕士研究生,主要研究方向:3D-HEVC视频水印算法;冯桂(1960-),女,浙江绍兴人,教授,博士,主要研究方向:信号与信息处理、通信系统信息安全理论、多媒体通信;韩雪(1993-),女,河南南阳人,硕士研究生,主要研究方向:3D视频编码中的算法优化;方定邦(1993-),男,湖北黄冈人,硕士研究生,主要研究方向:图像处理、模式识别;黄鑫达(1994-),男,福建泉州人,硕士研究生,主要研究方向:人脸识别算法。
基金资助:
福建省自然科学基金资助项目（2016J01306）；华侨大学研究生科研创新能力培育计划资助项目（17013082026）。

3D-HEVC robust video watermarking algorithm based on depth map

CAO Haiyan, FENG Gui, HAN Xue, FANG Dingbang, HUANG Xinda

College of Information Science and Engineering, Huaqiao University, Xiamen Fujian 361021, China

Received:2018-08-13 Revised:2018-10-19 Online:2019-03-10 Published:2019-03-11
Supported by:
This work is partially supported by the Natural Science Foundation of Fujian Province(2016J01306), the Research and Innovation Project for College Graduates of Huaqiao University (17013082026).

摘要/Abstract

摘要：

针对多视点加深度格式的3D视频中深度图鲁棒性不足的问题，提出了一种基于深度图的3D鲁棒视频水印算法。首先，将深度图不重叠的划分为4×4大小的块，计算每一块像素域的均方差，并设置一个阈值来区分纹理块和平坦块；其次，对纹理块计算区域块的能量值，根据计算的能量值设置一个阈值来选择性嵌入水印比特位；最后，获取每个块变换量化后的DC系数，根据获取的DC系数值构造3×3的可逆矩阵，对可逆矩阵进行QR分解，将水印嵌入在分解后的Q矩阵中。所提算法保证了平均峰值信噪比不变，且不同量化参数（QP）值（25、30、35、40）的重编码攻击下的平均误码率为14.9%。从测试的结果来看，该算法具有较好鲁棒性和嵌入容量，同时对视频的质量影响很小。

关键词: 深度图, 视频水印, 均方差, QR分解, DC系数

Abstract:

Aiming at insufficient robustness of depth map in multi-view 3D video with depth format, a 3D robust video watermarking algorithm based on depth map was proposed. Firstly, a depth map was divided into 4×4 nonoverlapped blocks, the mean square error of each block of pixels was calculated, and a threshold was set to distinguish the texture block and the flat block. Secondly, the block energy value of the texture block was calculated, and a threshold was set according to the calculated result to selectively embed the watermark bits. Finally, the transformed and quantized DC coefficients of each block were obtained and used to construct a 3×3 invertible matrix, then QR decomposition was performed on the invertible matrix and the watermark was embedded in the decomposed Q matrix. The proposed algorithm guarantees that the average Peak Signal to Noise Ratio (PSNR) is a constant, and the average Bit Error Rate (BER) under re-encoding attack with different Quantization Parameter (QP) values (25, 30, 35, 40) is 14.9%. Experimental results show that the algorithm has good robustness and embedding capacity, and has little impact on the quality of video.

Key words: depth map, video watermarking, mean square error, QR decomposition, DC coefficient

中图分类号:

TP309.2

曹海燕, 冯桂, 韩雪, 方定邦, 黄鑫达. 基于深度图的3D-HEVC鲁棒视频水印算法[J]. 计算机应用, 2019, 39(3): 869-873.

CAO Haiyan, FENG Gui, HAN Xue, FANG Dingbang, HUANG Xinda. 3D-HEVC robust video watermarking algorithm based on depth map[J]. Journal of Computer Applications, 2019, 39(3): 869-873.

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基于深度图的3D-HEVC鲁棒视频水印算法

3D-HEVC robust video watermarking algorithm based on depth map

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