The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Blind Motion Deblurring Using Image Statistics
Abstract
We address the problem of blind motion deblurring from a single image, caused by a few moving objects. In such situations only part of the image may be blurred, and the scene consists of layers blurred in different degrees. Most of of existing blind deconvolution research concentrates at recovering a single blurring kernel for the entire image. However, in the case of different motions, the blur cannot be modeled with a single kernel, and trying to deconvolve the entire image with the same kernel will cause serious artifacts. Thus, the task of deblurring needs to involve segmentation of the image into regions with different blurs. Our approach relies on the observation that the statistics of derivative filters in images are significantly changed by blur. Assuming the blur results from a constant velocity motion, we can limit the search to one dimensional box filter blurs. This enables us to model the expected derivatives distributions as a function of the width of the blur kernel. Those distributions are surprisingly powerful in discriminating regions with different blurs. The approach produces convincing deconvolution results on real world images with rich texture. 1
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Cites
Bayesian-Based Iterative Method of Image Restoration*
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Removing camera shake from a single photograph
Fergus, R., Singh, B., Hertzmann, A., Roweis, S. T., & Freeman, W. T. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1141956 · Cited by 1,815
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Contour and Texture Analysis for Image Segmentation
Malik, J., Belongie, S., Leung, T., & Shi, J. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011174803800 · Cited by 1,089
Fields of Experts: A Framework for Learning Image Priors
Roth, S., & Black, M. J. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.160 · Cited by 1,039
Interactive digital photomontage
Agarwala, A., Dontcheva, M., Agrawala, M., Drucker, S., Colburn, A., Curless, B., Salesin, D., & Cohen, M. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015718 · Cited by 829
Local scale control for edge detection and blur estimation
Elder, J. H., & Zucker, S. W. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.689301 · Cited by 558
ForWaRD: Fourier-Wavelet Regularized Deconvolution for Ill-Conditioned Systems
Neelamani, R., Choi, H., & Baraniuk, R. (2004) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2003.821103 · Cited by 442
Blind deconvolution through digital signal processing
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Learning how to inpaint from global image statistics
Levin, Zomet, & Weiss (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238360 · Cited by 324
Cited by
Understanding and evaluating blind deconvolution algorithms
Levin, A., Weiss, Y., Durand, F., & Freeman, W. T. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206815 · Cited by 1,208
Self-citationPhoto and Video Quality Evaluation: Focusing on the Subject
Luo, Y., & Tang, X. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88690-7_29 · Cited by 444
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
Tai, Y.-W., Tan, P., & Brown, M. S. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.222 · Cited by 287
No-reference perceptual image quality metric using gradient profiles for JPEG2000
Liang, L., Wang, S., Chen, J., Ma, S., Zhao, D., & Gao, W. (2010) · Signal Processing: Image Communication · doi:10.1016/j.image.2010.01.007 · Cited by 74
Metadata
- Authors
- Levin, A.
- Venue
- Advances in Neural Information Processing Systems 19
- Publisher
- The MIT Press
- Published
- 2007-09-07
- Pages
- 841-848
- OpenAlex
- W2165746464
- Cited by
- 396
- References
- 16
- FWCI
- 51.32
- Type
- book chapter
- Language
- en
- Open access
- closed
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