Spatial variant motion deblurring of images Online publication date: Thu, 31-Mar-2011
by Ratnakar Dash, Pankaj Kumar Sa, Banshidhar Majhi
International Journal of Computational Vision and Robotics (IJCVR), Vol. 2, No. 1, 2011
Abstract: Image restoration requires correct estimation of point spread function from the degraded observation. When one point spread function acts on the whole image, estimation of the true image is easier. However, for spatial variant degradations, i.e., when number of point spread functions act on the image, it is very difficult to estimate the true image from the degraded observation. In this paper, we have addressed rotational motion blur problem which may be either circular or elliptical. Spatial variant degradation is converted to number of spatial invariant degradations and the principle of spatial variant restoration is applied. The restoration results indicate the efficiency of the proposed method.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and 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