基于图像Bag-of-Words模型的无载体信息隐藏

doi:10.3969/j.issn.0255-8297.2016.05.005

应用科学学报 ›› 2016, Vol. 34 ›› Issue (5): 527-536.doi: 10.3969/j.issn.0255-8297.2016.05.005

基于图像Bag-of-Words模型的无载体信息隐藏

周志立, 曹燚, 孙星明

南京信息工程大学计算机与软件学院, 南京 210044

收稿日期:2016-08-05 修回日期:2016-08-18 出版日期:2016-09-30 发布日期:2016-09-30
作者简介:周志立,博士,研究方向:大规模近似图像搜索、图像/视频篡改检测、无载体信息隐藏等,E-mail:zhou_zhili@163.com
基金资助:
国家自然科学基金（No.61602253，No.U1536206，No.61232016，No.U1405254，No.61373133，No.61502242）；江苏省自然科学基金（No.BK20150925）；南京信息工程大学引进人才启动资金（No.2014r024）；江苏高校优势学科建设工程PAPD基金；大气环境与装备技术协同创新中心（CICAEET）基金资助

Coverless Information Hiding Based on Bag-of-Words Model of Image

ZHOU Zhi-li, CAO Yi, SUN Xing-ming

School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China

Received:2016-08-05 Revised:2016-08-18 Online:2016-09-30 Published:2016-09-30

摘要/Abstract

摘要：

介绍一种基于bag-of-words（BOW）模型的无载体信息隐藏方法。该方法使用BOW模型提取图像的视觉关键词（visual words，VW）以表达待隐藏的文本信息，从而实现文本信息在图像中的隐藏。首先使用BOW模型提取图像集中每幅图像的VW，构建文本信息的关键词和VW的映射关系库；然后把每幅图像分为若干子图像，统计每一幅子图像的VW频数直方图，选择频数最高的VW表示该子图像；最后根据构建的文本关键词和子图像VW的映射关系库，搜索出与待隐藏文本信息存在映射关系的子图像序列，将含有这些子图像的图像作为含密图像进行传递。实验结果和分析表明，该隐藏算法在抗隐写分析、鲁棒性和安全性方面均有良好的表现。

关键词: 无载体信息隐藏, bag of words模型, 视觉词汇, 图像搜索

Abstract:

This paper introduces a coverless information hiding method based on the bagof-words model (BOW). To hide text information into an image, visual words are extracted to represent the text information. Visual words from an image set are extracted using a BOW model, and a mapping relation between keywords in the text information and visual words is established. Each image is then divided into several sub-images. For each sub-image, a histogram of visual words is computed, and visual words having the largest values in the histogram selected to represent the sub-image. According to the mapping relation, a set of sub-images with visual words related to the text information is found. The images containing these sub-images are used as stego-images for secret communication. The experimental results and analysis show that the proposed method has good performance in anti-steganalysis capability, robustness against common attacks, and security.

Key words: coverless information hiding, visual word, bag of words (BOW) model, image search

中图分类号:

TN911.73

周志立, 曹燚, 孙星明. 基于图像Bag-of-Words模型的无载体信息隐藏[J]. 应用科学学报, 2016, 34(5): 527-536.

ZHOU Zhi-li, CAO Yi, SUN Xing-ming. Coverless Information Hiding Based on Bag-of-Words Model of Image[J]. Journal of Applied Sciences, 2016, 34(5): 527-536.

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基于图像Bag-of-Words模型的无载体信息隐藏

Coverless Information Hiding Based on Bag-of-Words Model of Image

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