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Efficient Video Stabilization Using  
Dual-Tree Complex Wavelet Transform 
Derek Pang, Huizhong Chen, Sherif Halawa 
Department of Electrical Engineering, Stanford University 
Motivation 
System Overview  
Advantages 
Experimental Results 
Related Work 
 Robust stabilization at 
efficient computational cost 
 Scalable in complexity 

Insensitive to illumination 
changes and noises 
 Optimal motion smoothing  
 Motion fidelity 
enhancement for sharp 
motion changes 
PSNR between current frames and  
their respective previous frames 
Best  
Mode 
Fast 
Mode 
Original 
Matlab Implementation (320x240 Input) 
Best Mode (per frame) 
Fast Mode (per frame) 
Wavelet Transformation 
47.2 ms 
7.0 ms 
Motion Estimation 
23.2 ms 
1.4 ms 
Motion Smoothing 
2.5 ms 
0.2 ms 
Other 
16.4 ms 
5.0 ms 
Total 
89.3 ms (11.2 fps) 
13.6 ms (73.5 fps) 
N G Kingsbury, "Complex wavelets for shift invariant analysis and filtering of signals", Journal of Applied and Computational Harmonic Analysis, May 2001. 
Y Matsushita , E Ofek, W Ge,  X Tang; H Y Shum; , "Full-frame video stabilization with motion inpainting“,  IEEE Transactions on Pattern Analysis and Machine Intelligence , July 2006. 
F Liu, M Gleicher, H Jin and A Agarwala. ”Content-Preserving Warps for 3D Video Stabilization”,  ACM Transactions on Graphics.  2009. 
 
