Registration Based Non-uniform Motion Deblurring
SCIE
SCOPUS
- Title
- Registration Based Non-uniform Motion Deblurring
- Authors
- Sunghyun Cho; Hojin Cho; Yu-Wing Tai; Lee, S
- Date Issued
- 2012-09
- Publisher
- WILEY-BLACKWELL
- Abstract
- This paper proposes an algorithm which uses image registration to estimate a non-uniform motion blur point spread function (PSF) caused by camera shake. Our study is based on a motion blur model which models blur effects of camera shakes using a set of planar perspective projections (i.e., homographies). This representation can fully describe motions of camera shakes in 3D which cause non-uniform motion blurs. We transform the non-uniform PSF estimation problem into a set of image registration problems which estimate homographies of the motion blur model one-by-one through the Lucas-Kanade algorithm. We demonstrate the performance of our algorithm using both synthetic and real world examples. We also discuss the effectiveness and limitations of our algorithm for non-uniform deblurring.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/15956
- DOI
- 10.1111/J.1467-8659.2012.03211.X
- ISSN
- 0167-7055
- Article Type
- Article
- Citation
- COMPUTER GRAPHICS FORUM, vol. 31, no. 7, page. 2183 - 2192, 2012-09
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- There are no files associated with this item.
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