A Novel Model for Removing the Mixture Noise and Blur of the Image
Current Journal of Applied Science and Technology · pp. 280–288 · Published 6 Feb 2015
10.9734/BJAST/2015/15910Abstract
In order to deal with the problem of the mixture noise removing and deblurring, a new model based on partial differential equations is proposed in this paper. We analyze some basic properties of the model, such as the existence and uniqueness of the solution of the model. Furthermore, we use an alternating minimization algorithm to find out the minimum of the proposed model. The experimental results show that the proposed model can restrain the stair-case and edge blurring effectively while removing the mixture noise and blur of the image.
Cited by 0
No indexed citations yet.
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.