Regularized image sequence interpolation by fusing low-resolution frames
- Authors
- Yoon, J.S.; Shin, J.H.; Paik, J.K.; Han, S.Y.
- Issue Date
- Sep-1999
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- IEEE Region 10 Annual International Conference, Proceedings/TENCON, v.2, pp 1271 - 1274
- Pages
- 4
- Journal Title
- IEEE Region 10 Annual International Conference, Proceedings/TENCON
- Volume
- 2
- Start Page
- 1271
- End Page
- 1274
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56577
- DOI
- 10.1109/TENCON.1999.818660
- ISSN
- 2159-3442
- Abstract
- This paper presents the feasibility of using different data sets, which correspond to the same scene to get a better resolution and information of the scene than the one obtained using only one data set. We propose a regularized image sequence interpolation algorithm, which can restore high frequency details by fusing low-resolution frames. In order to apply the regularization approach to the interpolation procedure, we use a two-dimensional separable image degradation model for a low resolution imaging system. The proposed algorithm provides a better-interpolated image by fusing low-resolution frames. © 1999 IEEE.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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