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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Main Authors: Nikolaos Kyriakoulis, Antonios Gasteratos
Format: Article
Language:English
Published: Wiley 2008-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2008/920615
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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.
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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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