Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Blind image deconvolution with spatially adaptive total variation regularization

Not Accessible

Your library or personal account may give you access

Abstract

A blind deconvolution algorithm with spatially adaptive total variation regularization is introduced. The spatial information in different image regions is incorporated into regularization by using the edge indicator called difference eigenvalue to distinguish edges from flat areas. The proposed algorithm can effectively reduce the noise in flat regions as well as preserve the edge and detailed information. Moreover, it becomes more robust with the change of the regularization parameter. Comparative results on simulated and real degraded images are reported.

©2012 Optical Society of America

Full Article  |  PDF Article

Corrections

Luxin Yan, Houzhang Fang, and Sheng Zhong, "Blind image deconvolution with spatially adaptive total variation regularization: erratum," Opt. Lett. 39, 1353-1353 (2014)
https://opg.optica.org/ol/abstract.cfm?uri=ol-39-6-1353

More Like This
Blind Poissonian images deconvolution with framelet regularization

Houzhang Fang, Luxin Yan, Hai Liu, and Yi Chang
Opt. Lett. 38(4) 389-391 (2013)

Blind image deconvolution with spatially adaptive total variation regularization: erratum

Luxin Yan, Houzhang Fang, and Sheng Zhong
Opt. Lett. 39(6) 1353-1353 (2014)

Blind image deconvolution subject to bandwidth and total variation constraints

Zhu Hao, Lu Yu, and Wu Qinzhang
Opt. Lett. 32(17) 2550-2552 (2007)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (13)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved