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Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation
Joint Authors
Paik, Joonki
Lee, Eunsung
Chae, Eunjung
Cheong, Hejin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Lee, Eunsung& Chae, Eunjung& Cheong, Hejin& Paik, Joonki. 2014. Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050502
Modern Language Association (MLA)
Lee, Eunsung…[et al.]. Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1050502
American Medical Association (AMA)
Lee, Eunsung& Chae, Eunjung& Cheong, Hejin& Paik, Joonki. Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050502
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050502