Fast motion deblurring using sensor-aided motion trajectory estimationopen access
- Authors
- Lee, E.; Chae, E.; Cheong, H.; Paik, J.
- Issue Date
- 2014
- Publisher
- Hindawi Limited
- Citation
- Scientific World Journal, v.2014
- Journal Title
- Scientific World Journal
- Volume
- 2014
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/13832
- DOI
- 10.1155/2014/649272
- ISSN
- 2356-6140
- Abstract
- This paper presents an image deblurring algorithm to remove motion blur using analysis of motion trajectories and local statistics based on inertial sensors. The proposed method estimates a point-spread-function (PSF) of motion blur by accumulating reweighted projections of the trajectory. A motion blurred image is then adaptively restored using the estimated PSF and spatially varying activity map to reduce both restoration artifacts and noise amplification. Experimental results demonstrate that the proposed method outperforms existing PSF estimation-based motion deconvolution methods in the sense of both objective and subjective performance measures. The proposed algorithm can be employed in various imaging devices because of its efficient implementation without an iterative computational structure. © 2014 Eunsung Lee et al.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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