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基于深度无合成误差模型的三维图像可逆信息隐藏方法研究
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  • 英文篇名:Reversible Data Hiding for Three-dimensional Image Based on Depth No-synthesis-error Model
  • 作者:欧博 ; 石向莲
  • 英文作者:OU Bo;SHI Xianglian;College of Computer Science and Electronic Engineering, Hunan University;
  • 关键词:三维图像 ; 可逆信息隐藏 ; 深度无合成误差
  • 英文关键词:3D image;;reversible data hiding;;D-NOSE
  • 中文刊名:XXAQ
  • 英文刊名:Netinfo Security
  • 机构:湖南大学信息科学与工程学院;
  • 出版日期:2018-05-10
  • 出版单位:信息网络安全
  • 年:2018
  • 期:No.209
  • 基金:国家自然科学基金[61502160]
  • 语种:中文;
  • 页:XXAQ201805004
  • 页数:8
  • CN:05
  • ISSN:31-1859/TN
  • 分类号:30-37
摘要
传统的可逆信息隐藏方法主要针对传统二维(2D)图像,极少有研究涉及三维(3D)图像。3D可逆信息隐藏方法以深度图为嵌入载体,通过2D图像和深度图合成3D图像,并实现无损于3D图像的数据嵌入。但现有算法还存在嵌入性能欠佳的缺点,为此文章提出了一种基于深度无合成误差(D-NOSE)模型的3D合成图像的可逆信息隐藏方法。该方法结合预测误差扩展算法和直方图移位算法,以预测误差值与像素频数两者来优选嵌入像素,通过控制选用的峰值数量和像素映射范围,来实现嵌入质量的提升以及容量的自适应控制。实验结果表明,该方法具有良好的嵌入性能,一方面能自适应调节嵌入容量,另一方面能提升嵌入载体深度图的嵌入质量。
        Traditional reversible data hiding methods mainly focus on traditional twodimensional(2D) images, and only a few researches involve three-dimensional(3D) images. A 3D image is synthesized by a 2D image and depth map. The reversible data hiding method for 3D images using the depth map as embedding carriers can obtain non-distortion 3D images after embedding. The existing algorithms have some drawbacks in embedding performance. To improve this, we proposed a reversible data hiding method for 3D synthetic images based on the depth no-synthesis-error model(D-NOSE) model. Combined with the prediction-error expansion algorithm and the histogram-shift algorithm, the prediction error value and the pixel frequency are used as the selectors for embedding pixels. By controlling the selected number of peaks and the distance of pixel mapping, the embedding quality can be improved, and the capacity can be adaptively controlled. Experimental results show that this method has good performance, which can adaptively adjust the embedding capacity while reducing the embedding distortion of the depth map.
引文
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