Multiple description image coding using contourlet transform
by Amina Naimi; Kamel Belloulata
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 11, No. 1, 2019

Abstract: In our work, we present multiple description coding (MDC) scheme using contourlet transform (CT) for greyscale images. The principle is to prove performance of our MDTC algorithm using CT in contrast to wavelet, which is widely used for image coding. The main goal of our approach is to encode directional sub-bands resulting from the directional stage decomposition to form the four descriptions compressed and transmitted over different packet loss channels. Most of multiple description scenarios are implemented in transform domain. A controlled amount of correlation is appended to the formed descriptions using a pairwise correlating transform (PCT). The experimental results of CT compared to discrete wavelet transform (DWT) show that our method achieves better performance in term of delivered peak signal to noise ratio (PSNR) and visual image quality reconstruction.

Online publication date: Mon, 10-Dec-2018

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 Computer Aided Engineering and Technology (IJCAET):
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