Binary image steganography method based on layered embedding

Yuxiang CHENG; Weiming ZHANG; Weixiang LI; Nenghai YU

doi:10.11959/j.issn.2096-109x.2021074

您当前的位置：

首页 >

文章列表页 >

Binary image steganography method based on layered embedding

TopicⅠ: Voice Image and Audio-Video Processing | 更新时间：2024-06-03

- Binary image steganography method based on layered embedding
- Chinese Journal of Network and Information Security Vol. 7, Issue 5, Pages: 49-56(2021)
- 作者机构：
  
  1. 中国科学技术大学中国科学院电磁空间信息重点实验室，安徽合肥 230001
  2. 中国科学技术大学网络空间安全学院，安徽合肥 230001
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2021074
  CLC： TP391
- Online First：2021-10，
  
  Published：15 October 2021
- 稿件说明：
移动端阅览
Yuxiang CHENG, Weiming ZHANG, Weixiang LI, et al. Binary image steganography method based on layered embedding[J]. Chinese Journal of Network and Information Security, 2021, 7(5): 49-56.
DOI：

Yuxiang CHENG, Weiming ZHANG, Weixiang LI, et al. Binary image steganography method based on layered embedding[J]. Chinese Journal of Network and Information Security, 2021, 7(5): 49-56. DOI： 10.11959/j.issn.2096-109x.2021074.

摘要

提出了一种非加性失真的二值图像隐写方法，该方法对载体图像进行分割，生成两张子图，通过传递影响因子更新失真，并使用最小化失真隐写编码实现消息嵌入。相较于固定失真不变的加性失真隐写方法，所提方法结合了二值图像只有黑色和白色两种像素的特性，使其能够捕捉像素点间修改的相关性，实现动态修改失真，从而提高了二值图像隐写的视觉质量和隐写安全性。

Abstract

A non-additive distortion binary image steganography method was proposed which divided the cover image into two sub cover images

updated the distortion through delivering influence factor

and used the minimizing distortion codes to achieve message embedding.Compared with the previous additive distortion steganography methods with fixed distortion

the proposed method combined the characteristics of binary images with only black and white pixels.Hence

it facilitated the correlation capture of pixel points and dynamic modification of distortion

improving the visual quality and steganography security of the binary image steganography.

关键词

Keywords

references

宋海涛 , 汤光明 , 孙怡峰 , 等 . 数字隐写模型及形式化描述 [J ] . 网络与信息安全学报 , 2020 , 6 ( 3 ): 59 - 65 .

SONG H T , TANG G M , SUN Y F , et al . Digital steganography model and its formal description [J ] . Chinese Journal of Network and Information Security , 2020 , 6 ( 3 ): 59 - 65 .

FILLERT , FRIDRICH J . Gibbs construction in steganography [J ] . IEEE Transactions on Information Forensics and Security , 2010 , 4 ( 5 ): 705 - 720 .

FILLER T , JUDAS J , FRIDRICH J . Minimizing additive distortion in steganography using syndrome-trellis codes [J ] . IEEE Transactions on Information Forensics and Security , 2011 , 6 ( 3 ): 920 - 935 .

MATSUI K , TANAKA K . Video_steganography:how to secretly embed a signature in a picture [J ] . IMA Intellectual Property Project , 1994 , 1 ( 1 ): 187 - 206 .

PAN H K , CHEN Y Y , TSENG Y C . A secure data hiding scheme for two-color images [C ] // IEEE Symposium on Computers and Communications . 2000 : 750 - 755 .

MEI Q , WONG E K , MEMON N . Data hiding in binary text documents [C ] // Security and Watermarking of Multimedia Contents III . 2001 : 369 - 375 .

FENG B W , LU W , SUN W . Secure binary image steganography based on minimizing the distortion on the texture [J ] . IEEE Transactions on Information Forensics and Security , 2015 , 10 ( 2 ): 243 - 255 .

ZHANG J H , LU W , YIN X L , et al . Binary image steganography based on joint distortion measurement [J ] . Journal of Visual Communication and Image Representation , 2019 , 58 : 600 - 605 .

TUCERYAN M , JAIN A K . Texture analysis,in:Handbook of pattern recognition and computer vision [M ] . Singapore,World Scientific , 1993 .

HUANG D , SHAN C F , ARDABILIAN M , et al . Local binary patterns and its application to facial image analysis:a survey [J ] . IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) , 2011 , 41 ( 6 ): 765 - 781 .

OJALA T , PIETIKAINEN M , MAENPAA T . Multiresolution gray-scale and rotation invariant texture classification with local binary patterns [J ] . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2002 , 24 ( 7 ): 971 - 987 .

CHIEWK L , PIEPRZYK J . Estimating hidden message length in binary image embedded by using boundary pixels steganography [C ] // Fifth International Conference on Availability,Reliability,and Security . 2010 : 683 - 688 .

FENG B W , WENG J , LU W , et al . Steganalysis of content-adaptive binary image data hiding [J ] . Journal of Visual Communication and Image Representation , 2017 , 46 : 119 - 127 .

CAO HONG , KOT A C . On establishing edge adaptive grid for bilevel image data hiding [J ] . IEEETransactions on Information Forensics and Security , 2013 , 8 ( 9 ): 1508 - 1518 .

CHEN J J , LU W , YEUNG Y , et al . Binary image steganalysis based on distortion level co-occurrence matrix [J ] . CMC-Computers Materials ＆ Continua , 2018 , 55 ( 2 ): 201 - 211 .

YANG H , KOT A C . Pattern-based data hiding for binary image authentication by connectivity preserving [J ] . IEEE Transactions Multimedia , 2007 , 9 ( 3 ): 475 - 486 .

CHEN J L , LU W , FANG Y M , et al . Binary image steganalysis based on local texture pattern [J ] . Journal of Visual Communication and Image Representation , 2018 , 55 : 149 - 156 .

FENG B W , LU W , SUN W . Binary image steganalysis based on pixel mesh Markov transition matrix [J ] . Journal of Visual Communication and Image Representation , 2015 , 26 : 284 - 295 .

Views

599

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Steganography in NFT images

Survey on image non-additive steganography

Related Author

Zichi WANG

Guorui FENG

Xinpeng ZHANG

Yaofei WANG

Weiming ZHANG

Kejiang CHEN

Wenbo ZHOU

Nenghai YU

Related Institution

School of Communication and Information Engineering, Shanghai University

Shenzhen Key Laboratory of Media Security, Shenzhen University

School of Cyber Science and Technology, University of Science and Technology of China

Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences

⁰