Sast digital image stabilization using one bit transform based sub-image motion estimation

Authors:
A. A. Yeni;S. Erturk
Affiliations:
Dept. of Electron. & Telecommun. Eng., Kocaeli Univ., Turkey;-
Venue:
IEEE Transactions on Consumer Electronics
Year:
2005

Citing 0
Cited 2

Center of mass-based adaptive fast block motion estimation

Journal on Image and Video Processing
Probabilistic global motion estimation based on Laplacian two-bit plane matching for fast digital image stabilization

EURASIP Journal on Advances in Signal Processing

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Abstract

This paper presents a fast image sequence stabilization system that uses one bit transform (IBT) matching based global motion estimation and Kalman filtering based global motion correction. In order to facilitate a fast motion estimation process, image frames are initially converted into a single bit-plane representation using the IBT, and then motion vectors are evaluated matching the IBTs of two consecutive frames using Boolean operations. Because a binary representation is established, the computational complexity of motion estimation is significantly reduced providing a proportionate reduction in power consumption of custom hardware. The global motion vector is computed using local motion vectors of sub-image blocks to further increase the motion estimation speed. For the motion correction part, global motion vectors are accumulated to yield absolute frame displacements and Kalman filtering is employed to achieve stabilization.