Real-time full-frame digital image stabilization system by SURF

2011 ◽  
Vol 19 (8) ◽  
pp. 1964-1972 ◽  
Author(s):  
张坤 ZHANG Kun ◽  
许廷发 XU Ting-fa ◽  
王平 WANG Ping ◽  
冯亮 FENG Liang
Keyword(s):  
Real Time ◽  
Digital Image ◽  
Stabilization System ◽  
Image Stabilization

Motion Correction With Adaptive Karlman Filter

2011 ◽  
Vol 268-270 ◽  
pp. 1768-1772 ◽  
Author(s):  
Yang Ke Liu ◽  
Chun Zhao Lv ◽  
Chang Li
Keyword(s):  
Kalman Filter ◽  
Digital Image ◽  
Motion Correction ◽  
Correction Method ◽  
Observation Error ◽  
Stabilization System ◽  
Movement Model ◽  
Image Stabilization ◽  
System Noise ◽  
Motion Correction Method

In the digital image stabilization system, Kalman filter is the most commonly used filter for motion correction. When the wanted movements have large assumptions deviation with the movement model, the result of motion correction will cause divergence and even error. For this problem, a novel motion correction method with adaptive Karlman filter is proposed. The back and forth characteristic of the unwanted motion and the smoothness characteristic of the wanted motion is used to adjust the system noise and the observation error adaptively. Experiment results show that the proposed method can effectively distinguish the wanted and the unwanted movement. Compared with the method with fixed parameters, the proposed method takes into account the smoothness and delay of wanted motion at the same time and it is more adaptively.

Real-time digital image stabilization algorithm on PC

2002 ◽  
Author(s):  
Yi Sun ◽  
Yuejin Zhao ◽  
Yubin Zhou ◽  
Mingqi Liu ◽  
Hai Lu ◽  
...  
Keyword(s):  
Real Time ◽  
Digital Image ◽  
Image Stabilization
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