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Volume 32 Issue 11
Dec.  2010
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Sun Shao-Jie, Wu Qiong, Li Guo-Hui. Blind Image Deconvolution Algorithm for Camera-shake Deblurring Based on Variational Bayesian Estimation[J]. Journal of Electronics & Information Technology, 2010, 32(11): 2674-2679. doi: 10.3724/SP.J.1146.2009.01600
Citation: Sun Shao-Jie, Wu Qiong, Li Guo-Hui. Blind Image Deconvolution Algorithm for Camera-shake Deblurring Based on Variational Bayesian Estimation[J]. Journal of Electronics & Information Technology, 2010, 32(11): 2674-2679. doi: 10.3724/SP.J.1146.2009.01600

Blind Image Deconvolution Algorithm for Camera-shake Deblurring Based on Variational Bayesian Estimation

doi: 10.3724/SP.J.1146.2009.01600
  • Received Date: 2009-12-15
  • Rev Recd Date: 2010-04-09
  • Publish Date: 2010-11-19
  • 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.
  • Schuon S and Diepold K. Comparison of motion deblur algorithms and real world deployment[J].Acta Astronautica.2009, 64(11/12):1050-1065[2]徐大宏. 基于正则化方法的图像复原算法研究[D]. [博士论文], 国防科学技术大学, 2008.[3]Takeda H, Farsiu S, and Milanfar P. Deblurring using regularized locally-adaptive kernel regression[J].IEEE Transactions on Image Processing.2008, 17(4):550-563[4]Jia Jia-ya. Single image motion deblurring using trans- parency[C]. Proceedings of the IEEE Computer Society Confe- rence on Computer Vision and Pattern Recognition, Minneapolis, MN, USA, 2007: 1-8.[5]Shan Qi, Jia Jia-ya, and Agarwala A. High-quality motion deblurring from a single image[J]. ACM Transactions on Graphics, 2008, 27(3): 1-10.[6]Miskin J W. Ensemble learning for independent component analysis[D]. [Ph.D. dissertation], Uni. Cambridge, 2000.[7]Fergus R, Singh B, and Hertzmann P, et al.. Removing camera shake from a single photograph[J].ACM Transactions on Graphics.2006, 25(3):787-794[8]Roth S and Black M J. Fields of experts: A framework for learning image priors[C]. Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA, 2005, 2: 860-867.[9]黄青华. 基于源信号模型的盲分离技术研究及应用[D]. [博士论文], 上海交通大学, 2007.[10]Zheng Hong-wei and Olaf H. Image statistics and local spatial conditions for nonstationary Blurred Image Reconstruction[C]. Lecture Notes in Computer Science, 2007, LNCS 4713: 324-334.[11]Yao Nie and Barner K E. The fuzzy transformation and its applications in image processing[J].IEEE Transactions on Image Processing.2006, 15(4):910-927
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