Restoration of motion blurred images
by Pankaj Kumar Sa, Ratnakar Dash, Banshidhar Majhi
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 2, No. 1/2, 2009

Abstract: In most of the real life applications of imaging, the Point Spread Functions (PSFs) responsible for degrading the observed images are not known. Hence, PSF and image must be identified from the observed noisy blurred image. Here, we present a computationally simple iterative blind deconvolution algorithm that alternates between Fourier and spatial domain. During the iteration, the algorithm imposes some constraints making the results more accurate and visually more appealing than existing schemes. This method delivers good results for images having uniform as well as non-uniform background intensity. Experimental results are provided to validate the performance of the proposed scheme.

Online publication date: Thu, 19-Nov-2009

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 Signal and Imaging Systems Engineering (IJSISE):
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