| 基于隐写编码和Markov模型的自适应图像隐写算法 |
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| 引用本文： | 张 湛, 刘光杰, 戴跃伟, 王执铨. 基于隐写编码和Markov模型的自适应图像隐写算法[J]. 计算机研究与发展, 2012, 49(8): 1668-1675. |
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| 作者姓名： | 张湛 刘光杰 戴跃伟 王执铨 |
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| 作者单位： | 1. 南京理工大学自动化学院 南京 210094;重庆电子工程职业学院计算机应用系 重庆 401331
2. 南京理工大学自动化学院 南京 210094 |
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| 基金项目： | 江苏省自然科学基金项目 |
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| 摘 要： | 如何构造大容量、低失真和高统计安全的隐写算法一直是隐写研究的难点和热点.提出一种兼顾感知失真和二阶统计安全的自适应图像隐写算法设计思路.算法将载体各部分的平滑度引入隐写编码的生成过程,自适应地利用一簇隐写编码在载体各部分的合理运用降低载密图像失真度;在隐秘信息嵌入方式上利用基于Markov链模型的动态补偿方法提高载密图像统计安全性;算法对载体最低有效位和次最低有效位进行嵌入以保证嵌入容量.实验表明算法在相同嵌入量下相较双层随机LSB匹配算法以及仅使用一种隐写编码的算法,失真度更低且载体统计分布的改变更小,而在失真度和统计分布改变相近时嵌入容量更大.
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| 关 键 词： | 信息隐藏 隐写 隐写编码 Markov链 隐写安全 |
A Self-Adaptive Image Steganography Algorithm Based on Cover-Coding and Markov Model |
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| Zhang Zhan, Liu Guangjie, Dai Yuewei, Wang Zhiquan. A Self-Adaptive Image Steganography Algorithm Based on Cover-Coding and Markov Model[J]. Journal of Computer Research and Development, 2012, 49(8): 1668-1675. |
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| Authors: | Zhang Zhan Liu Guangjie Dai Yuewei Wang Zhiquan |
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| Affiliation: | 1(School of Automation, Nanjing University of Science and Technology, Nanjing 210094)2(Department of Computer Application, Chongqing College of Electronic Engineering, Chongqing 401331) |
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| Abstract: | It is a difficulty and hotspot how to desigh steganography algorithms with large-capacity, low-distortion and high statistical security. A self-adaptive image steganography algorithm which takes account of the perceptual distortion and second-order statistical security is proposed. It introduces the smoothness of the various parts of the cover-object to the encoding generation process of cover codes, and reduces the distortion by the reasonable use of a cluster of cover codes in each part of cover-object. In the embedding aspect, in order to improve the statistic security, the algorithm uses a dynamic compensate method based on the image Markov chain model, and it embeds secret information into the least two significant bit (LTSB) planes in order to ensure the capacity. Experiment results show the proposed algorithm has lower distortion and smaller changes of cover statistical distribution than the stochastic LTSB match steganography algorithm and the algorithm which only uses one cover code under the same embedded payload. And the proposed algorithm has larger payloads than one cover code embedding when the distortion and statistical distribution changes are close. |
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| Keywords: | information hiding steganography cover code Markov chain steganography security |
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