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.
WANG Chaoran (王超然), BAO Qilian (鲍其莲), ZHENG Xunjiang (郑循江), SUN Shuodong (孙朔冬)
. Research on Motion Estimation Algorithm of Star Point Based on Nonlinear Gaussian Fitting[J]. Journal of Shanghai Jiaotong University(Science), 2018
, 23(4)
: 562
.
DOI: 10.1007/s12204-018-1943-8
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