A robust PDE appraoch to super resolution with nonlocal TV regularization term

Zeng Weili; Lu Xiaobo

Chinese︱Feedback︱Save this page

• Elaborating Academic Views 　　　　 • Exchanging Innovative Ideas
• Protecting Intellectual Properties 　　• Fast Sharing Science Papers

Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China

Home > Papers

A robust PDE appraoch to super resolution with nonlocal TV regularization term

Zeng Weili 1,Lu Xiaobo 2 *

1.School of Transportation, Southeast University

2.School of Automation, Southeast University

*Correspondence author

#Submitted by

Subject:

Funding: National Key Technologies R & D Program of China （No.No. 2009BAG13A06）, National Natural Science Foundation of China （No.No. 60972001）

Opened online: 7 June 2011

Accepted by: none

Citation: Zeng Weili,Lu Xiaobo.A robust PDE appraoch to super resolution with nonlocal TV regularization term[OL]. [ 7 June 2011] http://en.paper.edu.cn/en_releasepaper/content/4430627

Super resolution (SR) reconstruction algorithms make use of complimentary information among low resolution (LR) images to yield a high resolution (HR) image. Inspired by recent development on the video denosing problem, we propose a partial differential equation (PDE) model for SR based on a constrained variational model that use the nonlocal total variation (TV) as a regularization term. Experiments show the effectiveness and practicability of the proposed method.

Keywords:Super-resolution; Nonlocal TV; Partial differential equation (PDE)

For this paper

● PDF (0B)
● Revision 0 　　
● Print this paper
● Recommend this paper to a friend
● Add to my favorite list

Saved Papers

Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags

Add yours

Related Papers

Statistics

PDF Downloaded	280
Bookmarked	0
Recommend	5
Comments	Array

Submit your papers

Alert Name:
Alerting to:
Authentication email will be sent to your email address in 24 hours
Frequency:
Email Message Format:	Plain text Graphical(HTML)

Complete the form below and we will recommend the selected titles to your friends on your behalf. * Indicates a required field.
Your name*:
Your email address*:
Recipient's name*:
Recipient's email address*:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find the page(s) useful.

Your name:
Your email address:
Recipient's name:
Recipient's email address:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find this page useful.

Disclaimer: This message was sent to your friend using the "Send it to a friend" facility on the Sciencepaper Online’ WWW site, http://www.paper.edu.cn/en. The Sciencepaper Online is not responsible for the content of this email, and anything said in this email does not necessarily reflect the Sciencepaper Online's views.

	Check out RSS, or use RSS reader to subscribe this item

Saved Papers