HOS-based method of global motion estimation for noisy image sequences

1999 ◽  
Vol 35 (16) ◽  
pp. 1320 ◽  
Author(s):  
E. Ibn-elhaj ◽  
D. Aboutajdine ◽  
S. Pateux ◽  
L. Morin
Keyword(s):  
Motion Estimation ◽  
Image Sequences ◽  
Noisy Image ◽  
Global Motion ◽  
Global Motion Estimation

Fast Global Motion Estimation Algorithm for Microscopic Image Sequences

2010 ◽  
Vol 20-23 ◽  
pp. 1103-1108
Author(s):  
Xiao Tao Zhu ◽  
Mei Yu ◽  
Yi Gang Wang ◽  
Gang Yi Jiang
Keyword(s):  
Motion Estimation ◽  
Estimation Algorithm ◽  
Image Sequences ◽  
Estimation Accuracy ◽  
Microscopic Image ◽  
Global Motion ◽  
Translation Model ◽  
Global Motion Estimation ◽  
Speed Up ◽  
Motion Estimation Algorithm

In this paper, a fast global motion estimation algorithm is proposed to speed up the processing of microscopic image sequence. A translation model based on non-linear density estimation is adopted by the proposed algorithm. To speed up the process, three-level pyramid is used. Noise detection and feature pixel extraction run simultaneously in each pyramid level. Then the motion parameters is estimated only with the feature pixels. The experimental results show that the computational complexity of the proposed algorithm is reduced much while estimation accuracy is maintained compared with the MPEG-4 algorithm.

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