TY - GEN
T1 - Motion parameters estimation based on improved radon transform for blurred star image
AU - Huang, Junnan
AU - Jiang, Jie
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/7
Y1 - 2016/11/7
N2 - Motion parameters estimation is a crucial key to blur star restoration which is helpful to improve dynamic performance of star sensor. However, motion blur under high dynamic conditions results in signal-to-noise ratio (SNR) decreasing seriously which brings about difficulties in motion parameters estimation. In our paper, an improved Radon transform by introducing a combination of Z-function and double threshold mask is proposed overcoming the obstacles introduced by noise. The proposed algorithm is effectively in enhancing parallel stripes on Fourier spectrum and can reduce estimation error introduced by noise. Moreover, motion parameters can be obtained accurately even under conditions with SNR as low as 9.1629 dB by applying our algorithm. Finally, experiments on simulated images as well as real ones with different motion angles and motion lengths are carried out, testifying the effectiveness of the proposed method.
AB - Motion parameters estimation is a crucial key to blur star restoration which is helpful to improve dynamic performance of star sensor. However, motion blur under high dynamic conditions results in signal-to-noise ratio (SNR) decreasing seriously which brings about difficulties in motion parameters estimation. In our paper, an improved Radon transform by introducing a combination of Z-function and double threshold mask is proposed overcoming the obstacles introduced by noise. The proposed algorithm is effectively in enhancing parallel stripes on Fourier spectrum and can reduce estimation error introduced by noise. Moreover, motion parameters can be obtained accurately even under conditions with SNR as low as 9.1629 dB by applying our algorithm. Finally, experiments on simulated images as well as real ones with different motion angles and motion lengths are carried out, testifying the effectiveness of the proposed method.
KW - blurred star image
KW - mask
KW - motion parameters estimation
KW - nonlinear gray stretching
KW - Radon transform
UR - https://www.scopus.com/pages/publications/85004144060
U2 - 10.1109/IST.2016.7738195
DO - 10.1109/IST.2016.7738195
M3 - 会议稿件
AN - SCOPUS:85004144060
T3 - IST 2016 - 2016 IEEE International Conference on Imaging Systems and Techniques, Proceedings
SP - 42
EP - 47
BT - IST 2016 - 2016 IEEE International Conference on Imaging Systems and Techniques, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Imaging Systems and Techniques, IST 2016
Y2 - 4 October 2016 through 6 October 2016
ER -