Removing partial blur in a single image

Removing image partial blur is of great practical importance. However, as existing recovery techniques usually assume a one-layer clear image model, they can not characterize the actual generation process of partial blurs. In this paper, a two-layer image model is investigated. Based on the study of partial blur generation process, a novel recovery technique is proposed for a single input image. Both foreground and background layers are recovered simultaneously with the help of the matting technique, powerful image prior models, and user assistance. The effectiveness of the proposed approach is demonstrated by extensive experiments on image recovery and synthesis on real data.

[1]  B. R. Hunt,et al.  Image restoration of space-variant blurs by sectioned methods , 1978 .

[2]  Ramesh Raskar,et al.  Dappled photography: mask enhanced cameras for heterodyned light fields and coded aperture refocusing , 2007, SIGGRAPH 2007.

[3]  Frédo Durand,et al.  Defocus video matting , 2005, SIGGRAPH 2005.

[4]  Stephen Lin,et al.  Image/video deblurring using a hybrid camera , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[5]  Guillermo Sapiro,et al.  A Variational Framework for Simultaneous Motion Estimation and Restoration of Motion-Blurred Video , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[6]  Jiaya Jia,et al.  Image partial blur detection and classification , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Dani Lischinski,et al.  A Closed-Form Solution to Natural Image Matting , 2008 .

[8]  Wei Xiong,et al.  Rotational Motion Deblurring of a Rigid Object from a Single Image , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[9]  Shree K. Nayar,et al.  Motion-based motion deblurring , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Aggelos K. Katsaggelos,et al.  Tracking Motion-Blurred Targets in Video , 2006, 2006 International Conference on Image Processing.

[11]  Jiaya Jia,et al.  Single Image Motion Deblurring Using Transparency , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[12]  Frédo Durand,et al.  Image and depth from a conventional camera with a coded aperture , 2007, SIGGRAPH 2007.

[13]  Naoki Asada,et al.  Seeing Behind the Scene: Analysis of Photometric Properties of Occluding Edges by the Reversed Projection Blurring Model , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  William T. Freeman,et al.  Removing camera shake from a single photograph , 2006, SIGGRAPH 2006.

[15]  Kiriakos N. Kutulakos,et al.  A Layer-Based Restoration Framework for Variable-Aperture Photography , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[16]  Ramesh Raskar,et al.  Coded exposure photography: motion deblurring using fluttered shutter , 2006, SIGGRAPH 2006.

[17]  Dani Lischinski,et al.  Spectral Matting , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[18]  Anat Levin,et al.  Blind Motion Deblurring Using Image Statistics , 2006, NIPS.

[19]  Richard Szeliski,et al.  PSF estimation using sharp edge prediction , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[20]  Alex Pentland,et al.  A New Sense for Depth of Field , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Frédo Durand,et al.  Motion-invariant photography , 2008, SIGGRAPH 2008.

[22]  Michal Irani,et al.  Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency , 1993, J. Vis. Commun. Image Represent..

[23]  Michael J. Black,et al.  Fields of Experts: a framework for learning image priors , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[24]  Nahum Kiryati,et al.  Restoration of Images with Piecewise Space-Variant Blur , 2007, SSVM.

[25]  Yasuyuki Matsushita,et al.  Removing Non-Uniform Motion Blur from Images , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[26]  Stefano Soatto,et al.  Seeing beyond occlusions (and other marvels of a finite lens aperture) , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[27]  Ying Wu,et al.  Motion from blur , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[28]  A. Sawchuk.  Space-variant image motion degradation and restoration , 1972 .

[29]  Jan Flusser,et al.  Space-Variant Restoration of Images Degraded by Camera Motion Blur , 2008, IEEE Transactions on Image Processing.

[30]  Mei Han,et al.  Soft Edge Smoothness Prior for Alpha Channel Super Resolution , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[31]  Subhasis Chaudhuri,et al.  Depth from defocus in presence of partial self occlusion , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.