Abstract
The energy distribution model of motion blurred star point is analyzed. The distribution of the star point approximates to a two-dimensional (2D) Gaussian distribution under degeneration. Two multi-parameter nonlinear Gaussian fitting methods (GFMs) are proposed, and the relationship between fitting parameters and motion blur parameters is analyzed. Estimation of the parameters of motion blur by fitting parameters is calculated to realize the error compensation of the motion blur. The simulation results show the effectiveness and accuracy.
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Wang, C., Bao, Q., Zheng, X. et al. Research on Motion Estimation Algorithm of Star Point Based on Nonlinear Gaussian Fitting. J. Shanghai Jiaotong Univ. (Sci.) 23, 562–567 (2018). https://doi.org/10.1007/s12204-018-1943-8
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DOI: https://doi.org/10.1007/s12204-018-1943-8