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Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (6): 478-485    DOI: 10.1631/jzus.C1000236
    
Image stabilization with support vector machine
Wen-de Dong, Yue-ting Chen, Zhi-hai Xu, Hua-jun Feng*, Qi Li
State Key Laboratory of Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
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Abstract  We propose an image stabilization method based on support vector machine (SVM). Since SVM is very effective in solving nonlinear regression problems, an SVM model was constructed and trained to simulate the vibration characteristic. Then this model was used to predict and compensate for the vibration. A simulation system was built and four assessment metrics including the signal-to-noise ratio (SNR), gray mean gradient (GMG), Laplacian (LAP), and modulation transfer function (MTF) were used to verify our approach. Experimental results showed that this new method allows the image plane to locate stably on the CCD, and high quality images can be obtained.

Key wordsSupport vector machine (SVM)      Vibration      Displacement      Prediction      Compensation     
Received: 03 July 2010      Published: 07 June 2011
CLC:  TP701  
Cite this article:

Wen-de Dong, Yue-ting Chen, Zhi-hai Xu, Hua-jun Feng, Qi Li. Image stabilization with support vector machine. Front. Inform. Technol. Electron. Eng., 2011, 12(6): 478-485.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C1000236     OR     http://www.zjujournals.com/xueshu/fitee/Y2011/V12/I6/478


Image stabilization with support vector machine

We propose an image stabilization method based on support vector machine (SVM). Since SVM is very effective in solving nonlinear regression problems, an SVM model was constructed and trained to simulate the vibration characteristic. Then this model was used to predict and compensate for the vibration. A simulation system was built and four assessment metrics including the signal-to-noise ratio (SNR), gray mean gradient (GMG), Laplacian (LAP), and modulation transfer function (MTF) were used to verify our approach. Experimental results showed that this new method allows the image plane to locate stably on the CCD, and high quality images can be obtained.

关键词: Support vector machine (SVM),  Vibration,  Displacement,  Prediction,  Compensation 
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