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- Publisher Website: 10.1007/s11045-007-0020-5
- Scopus: eid_2-s2.0-34248545212
- WOS: WOS:000246565700008
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Conference Paper: An efficient algorithm for superresolution in medium field imaging
Title | An efficient algorithm for superresolution in medium field imaging |
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Authors | |
Keywords | Superresolution Toeplitz matrix Fast Fourier transforms Deblussing Preconditioned conjugate gradient method Medium field |
Issue Date | 2007 |
Citation | Multidimensional Systems and Signal Processing, 2007, v. 18, n. 2-3, p. 173-188 How to Cite? |
Abstract | In this paper, we study the problem of reconstruction of a high-resolution (HR) image from several blurred low-resolution (LR) image frames in medium field. The image frames consist of blurred, decimated, and noisy versions of a HR image. The HR image is modeled as a Markov random field (MRF), and a maximum a posteriori (MAP) estimation technique is used for the restoration. We show that with the periodic boundary condition, a HR image can be restored efficiently by using fast Fourier transforms. We also apply the preconditioned conjugate gradient method to restore HR images in the aperiodic boundary condition. Computer simulations are given to illustrate the effectiveness of the proposed approach. © Springer Science+Business Media, LLC 2007. |
Persistent Identifier | http://hdl.handle.net/10722/276808 |
ISSN | 2023 Impact Factor: 1.7 2023 SCImago Journal Rankings: 0.499 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yau, Andy C. | - |
dc.contributor.author | Bose, N. K. | - |
dc.contributor.author | Ng, Michael K. | - |
dc.date.accessioned | 2019-09-18T08:34:43Z | - |
dc.date.available | 2019-09-18T08:34:43Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | Multidimensional Systems and Signal Processing, 2007, v. 18, n. 2-3, p. 173-188 | - |
dc.identifier.issn | 0923-6082 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276808 | - |
dc.description.abstract | In this paper, we study the problem of reconstruction of a high-resolution (HR) image from several blurred low-resolution (LR) image frames in medium field. The image frames consist of blurred, decimated, and noisy versions of a HR image. The HR image is modeled as a Markov random field (MRF), and a maximum a posteriori (MAP) estimation technique is used for the restoration. We show that with the periodic boundary condition, a HR image can be restored efficiently by using fast Fourier transforms. We also apply the preconditioned conjugate gradient method to restore HR images in the aperiodic boundary condition. Computer simulations are given to illustrate the effectiveness of the proposed approach. © Springer Science+Business Media, LLC 2007. | - |
dc.language | eng | - |
dc.relation.ispartof | Multidimensional Systems and Signal Processing | - |
dc.subject | Superresolution | - |
dc.subject | Toeplitz matrix | - |
dc.subject | Fast Fourier transforms | - |
dc.subject | Deblussing | - |
dc.subject | Preconditioned conjugate gradient method | - |
dc.subject | Medium field | - |
dc.title | An efficient algorithm for superresolution in medium field imaging | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s11045-007-0020-5 | - |
dc.identifier.scopus | eid_2-s2.0-34248545212 | - |
dc.identifier.volume | 18 | - |
dc.identifier.issue | 2-3 | - |
dc.identifier.spage | 173 | - |
dc.identifier.epage | 188 | - |
dc.identifier.isi | WOS:000246565700008 | - |
dc.identifier.issnl | 0923-6082 | - |