An ant colony optimisation for data hiding in greyscale images
by Sidi Mohamed Douiri; Souad Elbernoussi
International Journal of Operational Research (IJOR), Vol. 29, No. 1, 2017

Abstract: The least significant bit (LSB) embedding method is one of the most frequently used techniques for information hiding, but it can degrade image quality significantly, particularly when a large number of bits are replaced. In this paper, a new approach to improve the embedding capacity and provide an imperceptible visual quality are proposed, using an effective ant colony optimisation algorithm to locate the optimal positions of the pixels in the over image to hide a data. Experimental results reveal that the stego-image is visually identical from the original over-image and the proposed approach can hide a large size of informations with reasonable computation time. Compare these results with previously achieved work also shows a significant improvement.

Online publication date: Wed, 22-Mar-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com