EURASIP Journal on Advances in Signal Processing
Analysis and Hardware Architecture Design of Global Motion Estimation
Journal of Signal Processing Systems
Real-time digital image stabilization system using modified proportional integrated controller
IEEE Transactions on Circuits and Systems for Video Technology
Robust video stabilization based on particle filter tracking of projected camera motion
IEEE Transactions on Circuits and Systems for Video Technology
Phase information and space filling curves in noisy motion estimation
IEEE Transactions on Image Processing
EURASIP Journal on Advances in Signal Processing
Video stabilization using kalman filter and phase correlation matching
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Binary edge based adaptive motion correction for accurate and robust digital image stabilization
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
A robust global motion estimation for digital video stabilization
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Computer Vision and Image Understanding
Video stabilization using maximally stable extremal region features
Multimedia Tools and Applications
Multidimensional Systems and Signal Processing
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This paper presents digital image stabilization with sub-image phase correlation based global motion estimation and Kalman filtering based motion correction. Global motion is estimated from the local motions of four sub-images each of which is detected using phase correlation based motion estimation. The global motion vector is decided according to the peak values of sub-image phase correlation surfaces, instead of impartial median filtering. The peak values of sub-image phase correlation surfaces reveal reliable local motion vectors, as poorly matched sub images result in considerably lower peaks in the phase correlation surface due to spread. The utilization of sub-images enables fast implementation of phase correlation based motion estimation. The global motion vectors of image frames are accumulated to obtain global displacement vectors, that are Kalman filtered for stabilization.