Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/649272 |
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| _version_ | 1849414243486531584 |
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| author | Eunsung Lee Eunjung Chae Hejin Cheong Joonki Paik |
| author_facet | Eunsung Lee Eunjung Chae Hejin Cheong Joonki Paik |
| author_sort | Eunsung Lee |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-747c19d8e7f6464e9f6cc32b2ff8e3d6 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-747c19d8e7f6464e9f6cc32b2ff8e3d62025-08-20T03:33:53ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/649272649272Fast Motion Deblurring Using Sensor-Aided Motion Trajectory EstimationEunsung Lee0Eunjung Chae1Hejin Cheong2Joonki Paik3Department of Image, Chung-Ang University, Seoul 156-756, Republic of KoreaDepartment of Image, Chung-Ang University, Seoul 156-756, Republic of KoreaDepartment of Image, Chung-Ang University, Seoul 156-756, Republic of KoreaDepartment of Image, Chung-Ang University, Seoul 156-756, Republic of KoreaThis 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.http://dx.doi.org/10.1155/2014/649272 |
| spellingShingle | Eunsung Lee Eunjung Chae Hejin Cheong Joonki Paik Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation The Scientific World Journal |
| title | Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation |
| title_full | Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation |
| title_fullStr | Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation |
| title_full_unstemmed | Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation |
| title_short | Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation |
| title_sort | fast motion deblurring using sensor aided motion trajectory estimation |
| url | http://dx.doi.org/10.1155/2014/649272 |
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