Steganography based on parameters’ disturbance of spatial image transform

Xi SUN; Wei-ming ZHANG; Neng-hai YU; Yao WEI

doi:10.11959/j.issn.1000-436x.2017155

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Steganography based on parameters’ disturbance of spatial image transform

Correspondences | 更新时间：2024-06-05

- Steganography based on parameters’ disturbance of spatial image transform
- Journal on Communications Vol. 38, Issue 10, Pages: 166-174(2017)
- 作者机构：
  
  1. 中国科学技术大学信息科学技术学院，安徽合肥 230001
  2. 中国科学院电磁空间信息重点实验室，安徽合肥 230001
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(U1636201);The National Natural Science Foundation of China(61572452);The National Natural Science Foundation of China(61502007);The China Postdoctoral Science Foundation(2015M582015)
- DOI：10.11959/j.issn.1000-436x.2017155
  CLC： TP309
- Online First：2017-10，
  
  Published：25 October 2017
- 稿件说明：
移动端阅览
Xi SUN, Wei-ming ZHANG, Neng-hai YU, et al. Steganography based on parameters’ disturbance of spatial image transform[J]. Journal on Communications, 2017, 38(10): 166-174.
DOI：

Xi SUN, Wei-ming ZHANG, Neng-hai YU, et al. Steganography based on parameters’ disturbance of spatial image transform[J]. Journal on Communications, 2017, 38(10): 166-174. DOI： 10.11959/j.issn.1000-436x.2017155.

摘要

在经典图像隐写算法研究中，使用的载体图像库多为实验室环境下的自然图像库，而在现实环境下，随着各种图像处理软件的流行，用户也越来越多地使用经图像处理后的图片。然而，如何利用图像处理来更好地指导隐写还未被系统地研究过。对此，以空域图像变换为例，提出参数扰动模型，将隐写带来的图像噪声隐藏在因参数微扰而带来的图像像素波动中，主动引入了图像集的失配因素。实验结果表明，在相同的隐写算法下，相较于直接使用原始图像库，隐写分析者在应对参数扰动的情况下的检错率有明显提高，从而显著增强了隐写算法的安全性，也使隐写算法更适用于现实环境。

Abstract

In the research of state-of-the-art steganography algorithms

most of image sources were natural images in laboratory environment.However

with the rapid development of image process tools and applications

images after image processing were widely used in real world.How to use image process to improve steganography has not been systematically studied.Taking spatial image transform for consideration

a parameters’ disturbance model was presented

which could hide the noise taken by steganography in the pixel fluctuation due to the disturbance.Meanwhile

it would introduce cover source mismatch for a steganalyzer.The experimental results show that

compared with using traditional image database

it can significantly enhance the security of steganography algorithms and accommodative to the real world situation.

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Keywords

references

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