Mosul University
  • Register
  • Login
  • العربیة

AL-Rafidain Journal of Computer Sciences and Mathematics

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 10, Issue 3
  3. Authors

Current Issue

By Issue

By Subject

Keyword Index

Author Index

Indexing Databases XML

About Journal

Aims and Scope

Editorial Board

Editorial Staff

Publication Ethics

Indexing and Abstracting

Related Links

Peer Review Process

News

Steganography based on Vector Quantization Technique

    Ansam Osamah Ahmed S. Nori

AL-Rafidain Journal of Computer Sciences and Mathematics, 2013, Volume 10, Issue 3, Pages 13-27
10.33899/csmj.2013.163532

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

The present research was aimed to implement a new Steganographic algorithm for Images in Vector Quantization (VQ) compressed domain, since the compressed image considers a secure cover for data to be embedded to avoid attention of unauthorized persons. Also, it saves the cost and time of transmission and storage. The new algorithm aimed to increase the embedding capacity with maintaining the image quality as well as reducing the time of the extraction process. The algorithm was implemented using Matlab 2009a. It embedded two bits in each index depending on mod 4, and secret key shared between sender and receiver. The algorithm used grayscale and RGB images (BMP and PNG) of different resolutions after compression in order to be used as a cover of secret data which were either as text or image. In the research, the new algorithm provided an acceptable image quality despite of the high embedding capacity that occupy the cover image completely, Also, the codebook was not needed for data extraction which led to reducing the extraction time significantly.
 
Keywords:
    steganography VQ BMP PNG codebook
  • PDF (596 K)
  • XML
(2013). Steganography based on Vector Quantization Technique. AL-Rafidain Journal of Computer Sciences and Mathematics, 10(3), 13-27. doi: 10.33899/csmj.2013.163532
Ansam Osamah; Ahmed S. Nori. "Steganography based on Vector Quantization Technique". AL-Rafidain Journal of Computer Sciences and Mathematics, 10, 3, 2013, 13-27. doi: 10.33899/csmj.2013.163532
(2013). 'Steganography based on Vector Quantization Technique', AL-Rafidain Journal of Computer Sciences and Mathematics, 10(3), pp. 13-27. doi: 10.33899/csmj.2013.163532
Steganography based on Vector Quantization Technique. AL-Rafidain Journal of Computer Sciences and Mathematics, 2013; 10(3): 13-27. doi: 10.33899/csmj.2013.163532
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 37
  • PDF Download: 44
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap
This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus