Motion Analysis in Image Sequences and Its Application to Image Restoration
Summary :
A new motion analysis method and an image restoration process for removing motion blur are proposed. Motion analysis includes the motion estimation and motion-based segmentation. Based on the analysis, we can obtain an image divided into multiple segments with different point spread functions. For removing motion blur, we propose an image degradation model for the motion with an arbitrary direction and a regularized iterative restoration method. By using the proposed degradation model and the restoration method, we can efficiently remove the space-variant motion blur.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.6 pp.893-898
- Publication Date
- 1999/06/25
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section PAPER (Special Section of Papers Selected from 1998 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC '98))
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Yoo Chan CHOUNG, Sang Kyu KANG, Joon Ki PAIK, "Motion Analysis in Image Sequences and Its Application to Image Restoration" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 6, pp. 893-898, June 1999, doi: .
Abstract: A new motion analysis method and an image restoration process for removing motion blur are proposed. Motion analysis includes the motion estimation and motion-based segmentation. Based on the analysis, we can obtain an image divided into multiple segments with different point spread functions. For removing motion blur, we propose an image degradation model for the motion with an arbitrary direction and a regularized iterative restoration method. By using the proposed degradation model and the restoration method, we can efficiently remove the space-variant motion blur.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_6_893/_p
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@ARTICLE{e82-a_6_893,
author={Yoo Chan CHOUNG, Sang Kyu KANG, Joon Ki PAIK, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Motion Analysis in Image Sequences and Its Application to Image Restoration},
year={1999},
volume={E82-A},
number={6},
pages={893-898},
abstract={A new motion analysis method and an image restoration process for removing motion blur are proposed. Motion analysis includes the motion estimation and motion-based segmentation. Based on the analysis, we can obtain an image divided into multiple segments with different point spread functions. For removing motion blur, we propose an image degradation model for the motion with an arbitrary direction and a regularized iterative restoration method. By using the proposed degradation model and the restoration method, we can efficiently remove the space-variant motion blur.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Motion Analysis in Image Sequences and Its Application to Image Restoration
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 893
EP - 898
AU - Yoo Chan CHOUNG
AU - Sang Kyu KANG
AU - Joon Ki PAIK
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1999
AB - A new motion analysis method and an image restoration process for removing motion blur are proposed. Motion analysis includes the motion estimation and motion-based segmentation. Based on the analysis, we can obtain an image divided into multiple segments with different point spread functions. For removing motion blur, we propose an image degradation model for the motion with an arbitrary direction and a regularized iterative restoration method. By using the proposed degradation model and the restoration method, we can efficiently remove the space-variant motion blur.
ER -
English
