Unnatural L 0 Representation for Natural Image Deblurring Speaker: Wei-Sheng Lai Date: 2013/04/26.

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Presentation transcript:

Unnatural L 0 Representation for Natural Image Deblurring Speaker: Wei-Sheng Lai Date: 2013/04/26

Outline 1.Introduction 2.Related work 3.L 0 Deblurring 4.Conclusion 2

1. Introduction 3 Point Spread Function (PSF)

1. Introduction Ill-posed problem: observation (B) < unknown variables (L + K) 4

1. Introduction 5 [1] Richardson, William Hadley. "Bayesian-based iterative method of image restoration." JOSA 62.1 (1972): [2] Lucy, L. B. "An iterative technique for the rectification of observed distributions."The astronomical journal 79 (1974): 745. [3] Wiener, Norbert. Extrapolation, interpolation, and smoothing of stationary time series: with engineering applications. Technology Press of the Massachusetts Institute of Technology, 1950.

1. Introduction 6

2. Related work 7 [4] R. Fergus et al, “Removing camera shake from a single photograph,” Siggraph 2006

2. Related work 8 [5] S Cho et al, “Fast motion deblur,” Siggraph 2009 [6] Xu, Li, and Jiaya Jia. "Two-phase kernel estimation for robust motion deblurring." ECCV [7] Levin, Anat, et al. "Image and depth from a conventional camera with a coded aperture." ACM TOG 2007

2. Related work 9 [8] Q. Shan et al, “High quality motion deblurring from a single image,” Siggraph 2008

2. Related work 10 [5] S Cho et al, “Fast motion deblur,” Siggraph 2009

2. Related work 11 [9] Levin, Anat, et al. "Understanding and evaluating blind deconvolution algorithms." CVPR 2009.

Unnatural L 0 Sparse Representation for Natural Image Deblurring 12

3. L 0 Deblurring 13 [10] Xu, Li, Shicheng Zheng, and Jiaya Jia. "Unnatural L0 Sparse Representation for Natural Image Deblurring.” CVPR 2013

3. L 0 Deblurring 14 [10] Xu, Li, Shicheng Zheng, and Jiaya Jia. "Unnatural L0 Sparse Representation for Natural Image Deblurring.” CVPR 2013

3. L 0 Deblurring 15 [10] Xu, Li, Shicheng Zheng, and Jiaya Jia. "Unnatural L0 Sparse Representation for Natural Image Deblurring.” CVPR 2013

3. L 0 Deblurring 16 [10] Xu, Li, Shicheng Zheng, and Jiaya Jia. "Unnatural L0 Sparse Representation for Natural Image Deblurring.” CVPR 2013

3. L 0 Deblurring 17 Input image Predict map kernel Deblurring result L 0 optimization [11] Krishnan, Dilip, and Rob Fergus. "Fast image deconvolution using hyper-Laplacian priors." ANIPS 2009 Unnatural Representation

3. L 0 Deblurring Other results 18

3. L 0 Deblurring Advantage of L0 deblurring: – Fast convergence – High quality 19

4. Conclusion 20

Thanks for Attention ! 21