The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Blind Deblurring Using Internal Patch Recurrence
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Citations
Cites
Super-resolution from a single image
Glasner, D., Bagon, S., & Irani, M. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459271 · Cited by 1,889
Self-citationRemoving 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
From learning models of natural image patches to whole image restoration
Zoran, D., & Weiss, Y. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126278 · Cited by 1,522
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
Blind deconvolution using a normalized sparsity measure
Krishnan, D., Tay, T., & Fergus, R. (2011) · CVPR 2011 · doi:10.1109/cvpr.2011.5995521 · Cited by 1,119
Two-Phase Kernel Estimation for Robust Motion Deblurring
Xu, L., & Jia, J. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15549-9_12 · Cited by 1,027
Image and depth from a conventional camera with a coded aperture
Levin, A., Fergus, R., Durand, F., & Freeman, W. T. (2007) · ACM SIGGRAPH 2007 papers · doi:10.1145/1275808.1276464 · Cited by 1,023
ClassCut for Unsupervised Class Segmentation
Alexe, B., Deselaers, T., & Ferrari, V. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15555-0_28 · Cited by 993
Image and depth from a conventional camera with a coded aperture
Levin, A., Fergus, R., Durand, F., & Freeman, W. T. (2007) · ACM Transactions on Graphics · doi:10.1145/1276377.1276464 · Cited by 980
Cited by
Zero-Shot Super-Resolution Using Deep Internal Learning
Shocher, A., Cohen, N., & Irani, M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00329 · Cited by 936
Self-citationSinGAN: Learning a Generative Model From a Single Natural Image
Shaham, T. R., Dekel, T., & Michaeli, T. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00467 · Cited by 890
Self-citationSchuler, C. J., Hirsch, M., Harmeling, S., & Schölkopf, B. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2481418 · Cited by 560
Image Deblurring via Extreme Channels Prior
Yan, Y., Ren, W., Guo, Y., Wang, R., & Cao, X. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.738 · Cited by 365
Shen, Z., Wang, W., Lu, X., Shen, J., Ling, H., Xu, T., & Shao, L. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00567 · Cited by 359
Metadata
- Authors
- Michaeli, T., & Irani, M.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2014
- Pages
- 783-798
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W233979554
- Cited by
- 403
- References
- 26
- FWCI
- 17.66
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Michaeli, T., & Irani, M. (2014). Blind Deblurring Using Internal Patch Recurrence. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-10578-9_51
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
