Ajou University repository

A modulo function-based robust asymmetric variable data hiding using DCToa mark
  • Khan, Sahib ;
  • Khan, Khalil ;
  • Arif, Arslan ;
  • Hassaballah, Mahmoud ;
  • Ali, Jehad ;
  • Ta, Qui Thanh Hoai ;
  • Yu, Lisu
Citations

SCOPUS

8

Citation Export

Publication Year
2020-10-01
Publisher
MDPI AG
Citation
Symmetry, Vol.12, pp.1-23
Keyword
Asymmetric data hidingDCTHiding efficiencyModulo functionPSNRSSI M
All Science Classification Codes (ASJC)
Computer Science (miscellaneous)Chemistry (miscellaneous)Mathematics (all)Physics and Astronomy (miscellaneous)
Abstract
This work presents a new asymmetric data hiding technique that hides a variable number of secret message bits in the discrete cosine transform (DCT) coefficients of a cover image using a modular distance technique. Prior to data hiding, the proposed framework transforms a cover image from a spatial domain to various frequency coefficients using DCT. The DCT coefficients are arranged in two groups: one with low-frequency coefficient, and the other with the medium and high-frequency coefficients. The medium and higher frequency coefficients are processed for variable data hiding asymmetrically. The proposed technique hides variable sets of secret information bits in different coefficients. The variation in hidden secret information is maintained using a key developed based on the modulo of distance of a coefficient from the reference point. The same key is also used to retrieve the confidential information at the receiver ends. The results reveal that the presented framework does not create any visually significant distortion, and thus the hidden information does not attract the human visual system (HVS). The technique also results in high data hiding efficiency.
ISSN
2073-8994
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31619
DOI
https://doi.org/10.3390/sym12101659
Fulltext

Type
Article
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

ALI JEHAD Image
ALI JEHADJEHAD, ALI
Department of Software and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.