The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Analysis of Rain and Snow in Frequency Space
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
Light Scattering by Small Particles
van de Hulst, H. C. (1981) · CERN Document Server (European Organization for Nuclear Research) · Cited by 7,938
Shi, J., & Tomasi (1994) · Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94 · doi:10.1109/cvpr.1994.323794 · Cited by 7,724
Adaptive background mixture models for real-time tracking
Stauffer, C., & Grimson, W. E. L. (2003) · Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) · doi:10.1109/cvpr.1999.784637 · Cited by 6,923
Light Scattering by Small Particles
Van de Hulst, H. C., & Twersky, V. (1957) · Physics Today · doi:10.1063/1.3060205 · Cited by 5,619
Microphysics of Clouds and Precipitation
Pruppacher, H. R., & Klett, J. D. (1978) · Springer eBooks · doi:10.1007/978-94-009-9905-3 · Cited by 3,975
Light scattering by small particles
Snowdon, S. C. (1957) · Journal of the Franklin Institute · doi:10.1016/0016-0032(57)90988-2 · Cited by 3,716
THE DISTRIBUTION OF RAINDROPS WITH SIZE
Marshall, J. S., & Palmer, W. M. K. (1948) · Journal of Meteorology · doi:10.1175/1520-0469(1948)005<0165:tdorws>2.0.co;2 · Cited by 3,670
Microphysics of Clouds and Precipitation
Pruppacher, H. R., Klett, J. D., & Wang, P. K. (1998) · Aerosol Science and Technology · doi:10.1080/02786829808965531 · Cited by 2,827
Cited by
Removing Rain from Single Images via a Deep Detail Network
Fu, X., Huang, J., Zeng, D., Huang, Y., Ding, X., & Paisley, J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.186 · Cited by 1,235
Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
Fu, X., Huang, J., Ding, X., Liao, Y., & Paisley, J. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2691802 · Cited by 940
Removing Rain from a Single Image via Discriminative Sparse Coding
Luo, Y., Xu, Y., & Ji, H. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.388 · Cited by 837
A Generalized Low-Rank Appearance Model for Spatio-temporally Correlated Rain Streaks
Chen, Y.-L., & Hsu, C.-T. (2013) · 2013 IEEE International Conference on Computer Vision · doi:10.1109/iccv.2013.247 · Cited by 458
Semi-Supervised Transfer Learning for Image Rain Removal
Wei, W., Meng, D., Zhao, Q., Xu, Z., & Wu, Y. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00400 · Cited by 458
Metadata
- Authors
- Barnum, P. C., Narasimhan, S., & Kanade, T.
- Venue
- International Journal of Computer Vision
- Published
- 2009-01-28
- Volume
- 86
- Issue
- 2-3
- Pages
- 256-274
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W1976056157
- Cited by
- 356
- References
- 44
- FWCI
- 10.63
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Analysis of Rain and Snow in Frequency Space. https://app.cochat.ai/papers/10.1007/s11263-008-0200-2
- The paper
- Barnum, P. C., Narasimhan, S., & Kanade, T. (2010). Analysis of Rain and Snow in Frequency Space. International Journal of Computer Vision. https://doi.org/10.1007/s11263-008-0200-2
Data sources
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.