A Recursive Fuzzy System for Efficient Digital Image Stabilization
A novel digital image stabilization technique is proposed in this paper. It is based on a fuzzy Kalman compensation of the global motion vector (GMV), which is estimated in the log-polar plane. The GMV is extracted using four local motion vectors (LMVs) computed on respective subimages in the logpol...
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| Format: | Article |
| Language: | English |
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Wiley
2008-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2008/920615 |
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| _version_ | 1850232907506909184 |
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| author | Nikolaos Kyriakoulis Antonios Gasteratos |
| author_facet | Nikolaos Kyriakoulis Antonios Gasteratos |
| author_sort | Nikolaos Kyriakoulis |
| collection | DOAJ |
| description | A novel digital image stabilization technique is proposed in this paper. It is based on a fuzzy Kalman compensation of the global motion vector (GMV), which is estimated in the log-polar plane. The GMV is extracted using four local motion vectors (LMVs) computed on respective subimages in the logpolar plane. The fuzzy Kalman system consists of a fuzzy system with the Kalman filter's discrete time-invariant definition. Due to this inherited recursiveness, the output results into smoothed image sequences. The proposed stabilization system aims to compensate any oscillations of the frame absolute positions, based on the motion estimation in the log-polar domain, filtered by the fuzzy Kalman system, and thus the advantages of both the fuzzy Kalman system and the log-polar transformation are exploited. The described technique produces optimal results in terms of the output quality and the level of compensation. |
| format | Article |
| id | doaj-art-0d54fd01751b4f0a8393cb494009e3fc |
| institution | OA Journals |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-0d54fd01751b4f0a8393cb494009e3fc2025-08-20T02:03:04ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2008-01-01200810.1155/2008/920615920615A Recursive Fuzzy System for Efficient Digital Image StabilizationNikolaos Kyriakoulis0Antonios Gasteratos1Department of Production and Management Engineering, School of Engineering, Democritus University of Thrace, GR-671 00 Xanthi, GreeceDepartment of Production and Management Engineering, School of Engineering, Democritus University of Thrace, GR-671 00 Xanthi, GreeceA novel digital image stabilization technique is proposed in this paper. It is based on a fuzzy Kalman compensation of the global motion vector (GMV), which is estimated in the log-polar plane. The GMV is extracted using four local motion vectors (LMVs) computed on respective subimages in the logpolar plane. The fuzzy Kalman system consists of a fuzzy system with the Kalman filter's discrete time-invariant definition. Due to this inherited recursiveness, the output results into smoothed image sequences. The proposed stabilization system aims to compensate any oscillations of the frame absolute positions, based on the motion estimation in the log-polar domain, filtered by the fuzzy Kalman system, and thus the advantages of both the fuzzy Kalman system and the log-polar transformation are exploited. The described technique produces optimal results in terms of the output quality and the level of compensation.http://dx.doi.org/10.1155/2008/920615 |
| spellingShingle | Nikolaos Kyriakoulis Antonios Gasteratos A Recursive Fuzzy System for Efficient Digital Image Stabilization Advances in Fuzzy Systems |
| title | A Recursive Fuzzy System for Efficient Digital Image Stabilization |
| title_full | A Recursive Fuzzy System for Efficient Digital Image Stabilization |
| title_fullStr | A Recursive Fuzzy System for Efficient Digital Image Stabilization |
| title_full_unstemmed | A Recursive Fuzzy System for Efficient Digital Image Stabilization |
| title_short | A Recursive Fuzzy System for Efficient Digital Image Stabilization |
| title_sort | recursive fuzzy system for efficient digital image stabilization |
| url | http://dx.doi.org/10.1155/2008/920615 |
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