计算机应用 ›› 2018, Vol. 38 ›› Issue (8): 2311-2315.DOI: 10.11772/j.issn.1001-9081.2018020297

• 网络空间安全 • 上一篇    下一篇

基于像素值排序的可逆信息隐藏算法

李天雪1,2, 张敏情1,2, 王建平1,2, 马双棚1,2   

  1. 1. 武警工程大学 密码工程学院, 西安 710086;
    2. 网络与信息安全武警部队重点实验室, 西安 710086
  • 收稿日期:2018-01-31 修回日期:2018-03-27 出版日期:2018-08-10 发布日期:2018-08-11
  • 通讯作者: 张敏情
  • 作者简介:李天雪(1993-),男,河南商丘人,硕士研究生,主要研究方向:网络安全、信息隐藏;张敏情(1967-),女,陕西西安人,教授,博士,主要研究方向:密码学、网络安全、信息隐藏;王建平(1992-),男,河南平顶山人,硕士研究生,主要研究方向:网络安全、信息隐藏;马双棚(1991-),男,河南许昌人,硕士研究生,主要研究方向:网络安全、公钥密码学。

Reversible data hiding algorithm based on pixel value order

LI Tianxue1,2, ZHANG Minqing1,2, WANG Jianping1,2, MA Shuangpeng1,2   

  1. 1. College of Cryptographic Engineering, Engineering College of Armed Police Force, Xi'an Shaanxi 710086, China;
    2. Key Laboratory of Network and Information Security of the Chinese Armed Police Force, Xi'an Shaanxi 710086, China
  • Received:2018-01-31 Revised:2018-03-27 Online:2018-08-10 Published:2018-08-11

摘要: 针对嵌入秘密后灰度图失真明显的问题,提出一种基于像素值排序(PVO)的可逆信息隐藏算法。首先,将像素分成灰、白两层,选择灰层的像素作为目标像素,对目标像素十字交叉位置上的4个白色像素进行排序;然后根据排序结果计算两端两个像素的均值和中间两个像素的均值,利用可逆约束实现像素的动态预测;最后,根据预测结果构造预测误差直方图(PEH),使用环形复杂度实现秘密数据的自适应嵌入,并用同样的方法处理白色层像素。利用USC-SIPI标准图像库中6幅图像进行仿真实验,当嵌入容量(EC)为10000 b,平均峰值信噪比(PSNR)为61.89 dB时,该算法能有效减小携密图像的失真。

关键词: 像素预测, 可逆信息隐藏, 像素值排序, 预测误差直方图, 灰度图

Abstract: For the distortion of the image after embedding secret is excessively obvious, a new Reversible Data Hiding (RDH) based on Pixel Value Order (PVO) was proposed. Firstly, the pixels of a carrier image were divided into gray and white layers, the pixels of a gray layer were selected as the target pixels, and the four white pixels in the cross positions of the target pixels were sorted. Secondly, according to the sorting result, the mean value of the two end pixels and the mean value of the median pixels were calculated, and the reversible constraint was used to achieve dynamic prediction of pixels. Finally, a Prediction Error Histogram (PEH) was constructed according to the prediction result. Six images in the USC-SIPI standard image library were used for simulation experiments. The experimental results show that, when the Embedding Capacity (EC) is 10000 b and the average Peak Signal-to-Noise Ratio (PSNR) is 61.89 dB, the proposed algorithm can effectively reduce the distortion of the image with ciphertext.

Key words: pixel prediction, Reversible Data Hiding (RDH), Pixel Value Order (PVO), Prediction Error Histogram (PEH), grayscale

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