Deconvolving PSFs for a better motion deblurring using multiple images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7576 LNCS, Issue PART 5, 2012, Pages 636-647

  Zhu, Xiang ^a   Šroubek, Filip ^b   Milanfar, Peyman ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b INSTITUTE OF MATHEMATICS   (Czech Republic)

Author keywords

Blind deconvolution; motion blur; PSF

Indexed keywords

BLIND DECONVOLUTION; DECONVOLUTION ALGORITHM; DECONVOLUTION PROBLEM; DIFFRACTION EFFECTS; ILL-POSEDNESS; LENS ABERRATION; MOTION BLUR; MOTION BLURRED IMAGE; MOTION DEBLURRING; MULTI-CHANNEL; MULTIPLE IMAGE; OUT-OF-FOCUS; PSF; SHALLOW DEPTHS; STATE OF THE ART;

COMPUTER VISION; CONVOLUTION; DECONVOLUTION;

IMAGE ENHANCEMENT;

EID: 84867890227     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33715-4_46     Document Type: Conference Paper

References (14)

1. Levin, A., Weiss, Y., Durand, F., Freeman, W.T.: Understanding and evaluating blind deconvolution algorithms. In: CVPR (2009)
2. Shan, Q., Jia, J., Agarwala, A.: High-quality motion deblurring from a single image. ACM Transactions on Graphics, SIGGRAPH (2008)
3. Levin, A., Fergus, R., Durand, F., Freeman, W.T.: Image and depth from a conventional camera with a coded aperture. ACM Transactions on Graphics, SIGGRAPH (2007)
4. Joshi, N., Szeliski, R., Kriegman, D.: PSF estimation using sharp edge prediction. In: CVPR (2008)
5. Cho, T.S., Paris, S., Horn, B.K.P., Freeman, W.T.: Blur kernel estimation using the Radon transform. In: CVPR (2011)
6. Li, W., Zhang, J., Dai, Q.: Exploring aligned complementary image prior for blind motion deblurring. In: CVPR (2011)
7. Harikumar, G., Bresler, Y.: Perfect blind restoration of images blurred by multiple filters: Theory and efficient algorithms. IEEE Transactions on Image Processing 8, 202-219 (1999)
8. Giannakis, G.B., Heath, R.W.: Blind identification of multichannel FIR blurs and perfect image restoration. IEEE Transactions on Image Processing 9, 1877-1896 (2000)
9. Rav-Acha, A., Peleg, S.: Two motion-blurred images are better than one. Pattern Recognition Letters 26, 311-317 (2005)
10. Šroubek, F., Milanfar, P.: Robust multichannel blind deconvolution via fast alternating minimization (Accepted for IEEE Transactions on Image Processing), doi:10.1109/TIP.2011.2175740
11. Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D 60, 259-268 (1992)
12. Xu, L., Jia, J.: Two-Phase Kernel Estimation for Robust Motion Deblurring. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 157-170. Springer, Heidelberg (2010)
13. Levin, A.,Weiss, Y., Durand, F., Freeman,W.T.: Exploring aligned complementary image prior for blind motion deblurring. In: CVPR (2011)
14. Chen, J., Yuan, L., Tang, C., Quan, L.: Robust dual motion deblurring. In: CVPR (2008)