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| Blind Image Deconvolution Algorithm for Camera-shake Deblurring Based on Variational Bayesian Estimation |
| Sun Shao-jie① Wu Qiong② Li Guo-hui① |
①(College of Information System and Management, National University of Defense Technology, Changsha 410073, China)
②(Airforce Training Equipment Institute, Beijing 100195, China) |
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Abstract Motion blur due to camera shaking during exposure is one common phenomena of image degradation. Based on the variational Bayesian estimation theory and the statistical characteristic of the natural images gradient, a blind image deconvolution algorithm is proposed to restore camera-shake blurred image. In addition, based on sub-region detection and Fuzzy filter, a deringing method is proposed to reduce ringing effect, which is not avoided in the process of image deconvolution. The experimental results show that the algorithm of blind image deconvolution can effectively remove the motion blur caused by camera shaking, and can effectively reduce the ringing effect, while preserve the image edge and details well and improve the quality of the restored image.
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Received: 15 December 2009
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Corresponding Authors:
Sun Shao-jie
E-mail: sshj_mil@126.com
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2010, Vol. 32 
