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

Multiframe image super-resolution adapted with local spatial information

Not Accessible

Your library or personal account may give you access

Abstract

Super-resolution image reconstruction, which has been a hot research topic in recent years, is a process to reconstruct high-resolution images from shifted, low-resolution, degraded observations. Among the available reconstruction frameworks, the maximum a posteriori (MAP) model is widely used. However, existing methods usually employ a fixed prior item and regularization parameter for the entire HR image, ignoring local spatially adaptive properties, and the large computation load caused by the solution of the large-scale ill-posed problem is another issue to be noted. In this paper, a block-based local spatially adaptive reconstruction algorithm is proposed. To reduce the large computation load and realize the local spatially adaptive process of the prior model and regularization parameter, first the target image is divided into several same-sized blocks and the structure tensor is used to analyze the local spatial properties of each block. Different property prior items and regularization parameters are then applied adaptively to different properties’ blocks. Experimental results show that the proposed method achieves better performance than methods with a fixed prior item and regularization parameter.

© 2011 Optical Society of America

Full Article  |  PDF Article
More Like This
Single image super-resolution using locally adaptive multiple linear regression

Soohwan Yu, Wonseok Kang, Seungyong Ko, and Joonki Paik
J. Opt. Soc. Am. A 32(12) 2264-2275 (2015)

Unified multiframe super-resolution of matte, foreground, and background

Sahana M. Prabhu and A. N. Rajagopalan
J. Opt. Soc. Am. A 30(8) 1524-1534 (2013)

Sparsity constrained regularization for multiframe image restoration

Premchandra M. Shankar and Mark A. Neifeld
J. Opt. Soc. Am. A 25(5) 1199-1214 (2008)

References

You do not have subscription access to this journal. Citation lists with outbound citation 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

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 (12)

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 (2)

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 (19)

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

Metrics

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved