The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
Abstract
This paper addresses how to model and correct image blur that arises when a camera undergoes ego motion while observing a distant scene. In particular, we discuss how the blurred image can be modeled as an integration of the clear scene under a sequence of planar projective transformations (i.e., homographies) that describe the camera's path. This projective motion path blur model is more effective at modeling the spatially varying motion blur exhibited by ego motion than conventional methods based on space-invariant blur kernels. To correct the blurred image, we describe how to modify the Richardson-Lucy (RL) algorithm to incorporate this new blur model. In addition, we show that our projective motion RL algorithm can incorporate state-of-the-art regularization priors to improve the deblurred results. The projective motion path blur model, along with the modified RL algorithm, is detailed, together with experimental results demonstrating its overall effectiveness. Statistical analysis on the algorithm's convergence properties and robustness to noise is also provided.
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Maximum Likelihood Reconstruction for Emission Tomography
Shepp, L. A., & Vardi, Y. (1982) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.1982.4307558 · Cited by 4,429
Bayesian-Based Iterative Method of Image Restoration*
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An iterative technique for the rectification of observed distributions
Lucy, L. B. (1974) · The Astronomical Journal · doi:10.1086/111605 · Cited by 3,866 · cited 2×
“The derivation in this section of the Richardson-Lucy Deconvolution algorithm [22], [20] is based on the paper from Shepp and Vardi [26].”
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
High-quality motion deblurring from a single image
Shan, Q., Jia, J., & Agarwala, A. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360672 · Cited by 1,386
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
Total variation blind deconvolution
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Cited by
Unnatural L0 Sparse Representation for Natural Image Deblurring
Xu, L., Zheng, S., & Jia, J. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.147 · Cited by 1,079
Single-shot blind uniform motion deblurring with ringing reduction
Shah, M. J., & Dalal, U. (2017) · The Imaging Science Journal · doi:10.1080/13682199.2017.1366614 · Cited by 4
Metadata
- Authors
- Tai, Y.-W., Tan, P., & Brown, M. S.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2011-08
- Volume
- 33
- Issue
- 8
- Pages
- 1603-1618
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2106923440
- Cited by
- 287
- References
- 31
- FWCI
- 19.90
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tai, Y.-W., Tan, P., & Brown, M. S. (2011). Richardson-Lucy Deblurring for Scenes under a Projective Motion Path. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2010.222
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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