Multi-image blind deblurring using a coupled adaptive sparse prior

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 1051-1058

  Zhang, Haichao ^a   Wipf, David ^b   Zhang, Yanning ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

adaptive coupled sparsity; blind image deblurring; multi image blind deconvolution; sparse recovery

Indexed keywords

ADAPTIVE COUPLED SPARSITY; BLIND DECONVOLUTION; HIGH QUALITY IMAGES; IMAGE DEBLURRING; NOISY OBSERVATIONS; PENALTY FUNCTION; ROBUST ALGORITHM; SPARSE RECOVERY;

ALGORITHMS; CONVOLUTION; PATTERN RECOGNITION;

IMAGE ENHANCEMENT;

EID: 84887357805     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.140     Document Type: Conference Paper

References (22)

1. A. K. Agrawal, Y. Xu, and R. Raskar. Invertible motion blur in video. ACM Trans. Graph., 28(3), 2009. 2
2. S. D. Babacan, R. Molina, M. N. Do, and A. K. Katsaggelos. Bayesian blind deconvolution with general sparse image priors. In ECCV, 2012. 2
3. J.-F. Cai, H. Ji, C. Liu, and Z. Shen. Blind motion deblurring using multiple images. J. Comput. Physics, 228(14):5057-5071, 2009. 1, 2, 5, 6
4. J. Chen, L. Yuan, C.-K. Tang, and L. Quan. Robust dual motion deblurring. In CVPR, 2008. 1, 2, 6
5. S. Cho and S. Lee. Fast motion deblurring. In SIGGRAPH ASIA, 2009. 6, 7, 8
6. R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, andW. T. Freeman. Removing camera shake from a single photograph. In SIGGRAPH, 2006. 1, 2, 3
7. D. Krishnan, T. Tay, and R. Fergus. Blind deconvolution using a normalized sparsity measure. In CVPR, 2011. 2
8. A. Levin, Y. Weiss, F. Durand, and W. Freeman. Understanding and evaluating blind deconvolution algorithms. In CVPR, 2009. 5
9. A. Levin, Y. Weiss, F. Durand, andW. T. Freeman. Efficient marginal likelihood optimization in blind deconvolution. In CVPR, 2011. 2, 3
10. J. W. Miskin and D. J. C. MacKay. Ensemble learning for blind image separation and deconvolution. In Advances in Independent Component Analysis, 2000. 3
11. J. A. Palmer, D. P. Wipf, K. Kreutz-Delgado, and B. D. Rao. Variational EM algorithms for non-gaussian latent variable models. In NIPS, 2006. 3
12. A. Rav-Acha and S. Peleg. Two motion blurred images are better than one. Pattern Recognition Letters, 26:311-317, 2005. 1, 2, 6
13. F. ?Sroubek and P. Milanfar. Robust multichannel blind deconvolution via fast alternating minimization. IEEE Trans. on Image Processing, 21(4):1687-1700, 2012. 1, 2, 5, 6, 7
14. Q. Shan, J. Jia, and A. Agarwala. High-quality motion deblurring from a single image. In SIGGRAPH, 2008. 1, 2
15. O. Whyte, J. Sivic, A. Zisserman, and J. Ponce. Non-uniform deblurring for shaken images. International Journal of Computer Vision, 98(2):168-186, 2012. 5, 6, 7, 8
16. D. P. Wipf, B. D. Rao, and S. S. Nagarajan. Latent variable Bayesian models for promoting sparsity. IEEE Trans. on Information Theory, 57(9):6236-6255, 2011. 3, 4
17. D. P. Wipf and H. Zhang. Revisiting Bayesian blind deconvolution. Technical report, MSRA, Feb. 2013. 3, 5
18. L. Yuan, J. Sun, and H.-Y. Shum. Image deblurring with blurred/noisy image pairs. In SIGGRAPH, 2007. 2, 5, 6, 7, 8
19. H. Zhang, D. P. Wipf, and Y. Zhang. Multi-observation blind deconvolution with an adaptive sparse prior. Technical report, MSRA, March 2013. 3, 4, 5
20. H. Zhang, J. Yang, Y. Zhang, N. M. Nasrabadi, and T. S. Huang. Close the loop: Joint blind image restoration and recognition with sparse representation prior. In ICCV, 2011. 2
21. C. Zhou, S. Lin, and S. Nayar. Coded aperture pairs for depth from defocus and defocus deblurring. International Journal of Computer Vision, 93(1):53-72, 2011. 2
22. X. Zhu, F. ?Sroubek, and P. Milanfar. Deconvolving PSFs for a better motion deblurring using multiple images. In ECCV, 2012. 1, 2, 5, 6, 7