Characteristic region based image steganography using Speeded-Up Robust Features technique

Link to publisher's homepage at http://ieeexplore.ieee.org/

Saved in:
Bibliographic Details
Main Authors: Nagham, Hamid, Abid, Yahya, R. Badlishah, Ahmad, Prof. Dr., Osamah Al-Qershi
Other Authors: abidyahya@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26270
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-26270
record_format dspace
spelling my.unimap-262702015-07-14T01:33:17Z Characteristic region based image steganography using Speeded-Up Robust Features technique Nagham, Hamid Abid, Yahya R. Badlishah, Ahmad, Prof. Dr. Osamah Al-Qershi abidyahya@unimap.edu.my Image Steganography Information hiding Region characteristics Robustness Speeded-Up Robust Features (SURF) Link to publisher's homepage at http://ieeexplore.ieee.org/ Steganography is the art and science of invisible communication. It is employed in different useful a pplications, like, safe circulation of secret data and Medical I maging Systems. For most of the current steganography techniques, i nformation hiding modifies almost all the cover components, wh ich may negatively affect the visual quality of the image a nd increase the possibility of losing data after the possible attac ks. This paper presents a new region based steganography technique , which hides data in the robust regions of the image. Firs t, the Speeded- Up Robust Features (SURF) is used to find the most robust regions in the image. Then, the data embedding is ac hieved in a content-based manner by modifying the wavelet trans form coefficients of those robust regions. Experimental results show the proposed algorithm allows hiding data invisibly with an accurate retrieval in the presence of lossy compres sion or noise. Moreover, the visual quality of the embedded image is high. 2013-06-27T04:24:21Z 2013-06-27T04:24:21Z 2012 Working Paper p. 141-146 978-146730260-9 http://hdl.handle.net/123456789/26270 en Proceedings of the International Conference on Future Communication Networks (ICFCN) 2012 Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Image Steganography
Information hiding
Region characteristics
Robustness
Speeded-Up Robust Features (SURF)
spellingShingle Image Steganography
Information hiding
Region characteristics
Robustness
Speeded-Up Robust Features (SURF)
Nagham, Hamid
Abid, Yahya
R. Badlishah, Ahmad, Prof. Dr.
Osamah Al-Qershi
Characteristic region based image steganography using Speeded-Up Robust Features technique
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 abidyahya@unimap.edu.my
author_facet abidyahya@unimap.edu.my
Nagham, Hamid
Abid, Yahya
R. Badlishah, Ahmad, Prof. Dr.
Osamah Al-Qershi
format Working Paper
author Nagham, Hamid
Abid, Yahya
R. Badlishah, Ahmad, Prof. Dr.
Osamah Al-Qershi
author_sort Nagham, Hamid
title Characteristic region based image steganography using Speeded-Up Robust Features technique
title_short Characteristic region based image steganography using Speeded-Up Robust Features technique
title_full Characteristic region based image steganography using Speeded-Up Robust Features technique
title_fullStr Characteristic region based image steganography using Speeded-Up Robust Features technique
title_full_unstemmed Characteristic region based image steganography using Speeded-Up Robust Features technique
title_sort characteristic region based image steganography using speeded-up robust features technique
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/26270
_version_ 1643794890954375168
score 13.222552