Research on Motion Estimation Algorithm of Star Point Based on Nonlinear Gaussian Fitting

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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Shanghai jiao tong da xue xue bao 2018-08, Vol.23 (4), p.562-567
Hauptverfasser:	Wang, Chaoran, Bao, Qilian, Zheng, Xunjiang, Sun, Shuodong
Format:	Artikel
Sprache:	eng
Schlagworte:	Architecture Computer Science Computer simulation Degeneration Electrical Engineering Energy distribution Engineering Error compensation Gaussian distribution Life Sciences Materials Science Motion simulation Normal distribution Parameter estimation Software reviews
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	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.
ISSN:	1007-1172 1995-8188
DOI:	10.1007/s12204-018-1943-8