Improving embedding efficiency via matrix embedding: A case study

Yunkai Gao, Xiaolong Li, Tieyong ZENG, Bin Yang*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Matrix embedding is proved an effective way to improve embedding efficiency of steganography, and usually, higher dimensional matrix will provide better embedding efficiency. However, the sender might suffer huge computational complexity when employing high dimensional matrix. In this paper, a variation of matrix embedding is proposed. Instead of finding a coset leader as the modification of the cover image (which is the most time consuming step in matrix embedding), we turn to finding a vector in the coset which has relatively small Hamming weight. Such a vector can be found at reduced computational cost. Consequently, higher dimensional matrix can be used for practically implementable matrix embedding. The parity check matrix of random linear code is used in the experiments. It has shown that the proposed scheme can enhance the practicability and efficiency of the conventional matrix embedding.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages109-112
Number of pages4
ISBN (Print)9781424456543
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 7 Nov 200910 Nov 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2009 IEEE International Conference on Image Processing, ICIP 2009
Country/TerritoryEgypt
CityCairo
Period7/11/0910/11/09

Scopus Subject Areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

User-Defined Keywords

  • Embedding efficiency
  • Information hiding
  • Matrix embedding
  • Steganography

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