An optimisation method for fusion-based reversible embedding and retrieving in MRI/CT medical images
by G. Saranya; S. Nirmala Devi
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 25, No. 2/3/4, 2017

Abstract: Embedding and retrieving have an extensive scope of applications in the medical field. This method is worthwhile in strengthening the particulars of patients from the trespasser with prime storage capacity. The medical images of different modalities along with Patient Medical Image (PMI) can be conveyed to the medical practitioner across the globe for the opinion. Owing to the bandwidth and storage restraint, medical images must be compressed prior to the transference and storage. This paper presents a novel method for fusion-based embedding and retrieving by using Modified Complex Contourlet Transform (MCCT) and Modified Grey Wolf Optimisation (MGWO). It also determines the compression method by using Complex Contourlet Transform (CCT). Hence, this paper suggests that the fusion-based embedding and retrieving technique based on MCCT and MGWO is providing better hiding capacity. The improved values of compression ratio (CR), space saving (SS), mean square error (MSE) and peak signal to noise ratio (PSNR) show that the new novel method fulfils the properties of the embedding and retrieving technique.

Online publication date: Tue, 31-Oct-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 Biomedical Engineering and Technology (IJBET):
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