The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Single-image deraining using an adaptive nonlocal means filter
Abstract
An adaptive rain streak removal algorithm for a single image is proposed in this work. We observe that a typical rain streak has an elongated elliptical shape with a vertical orientation. Thus, we first detect rain streak regions by analyzing the rotation angle and the aspect ratio of the elliptical kernel at each pixel location. We then perform the nonlocal means filtering on the detected rain streak regions by selecting nonlocal neighbor pixels and their weights adaptively. Experimental results demonstrate that the proposed algorithm removes rain streaks more efficiently and provides higher restored image qualities than conventional algorithms.
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
A Non-Local Algorithm for Image Denoising
Buades, A., Coll, B., & Morel, J.-M. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.38 · Cited by 7,616
Kernel Regression for Image Processing and Reconstruction
Takeda, H., Farsiu, S., & Milanfar, P. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.888330 · Cited by 1,340
Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition
Kang, L.-W., Lin, C.-W., & Fu, Y.-H. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2179057 · Cited by 905
Detection and removal of rain from videos
Garg, K., & Nayar, S. K. (2004) · Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. · doi:10.1109/cvpr.2004.1315077 · Cited by 515
Garg, K., & Nayar, S. K. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-0028-6 · Cited by 477
Analysis of Rain and Snow in Frequency Space
Barnum, P. C., Narasimhan, S., & Kanade, T. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-008-0200-2 · Cited by 356
Rain or Snow Detection in Image Sequences Through Use of a Histogram of Orientation of Streaks
Bossu, J., Hautière, N., & Tarel, J.-P. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-011-0421-7 · Cited by 349
Rain Removal in Video by Combining Temporal and Chromatic Properties
Zhang, X., Li, H., Qi, Y., Leow, W., & Ng, T. (2006) · 2006 IEEE International Conference on Multimedia and Expo · doi:10.1109/icme.2006.262572 · Cited by 293
Garg, K., & Nayar, S. K. (2005) · Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 · doi:10.1109/iccv.2005.253 · Cited by 225
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
Deep Joint Rain Detection and Removal from a Single Image
Yang, W., Tan, R. T., Feng, J., Liu, J., Guo, Z., & Yan, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.183 · Cited by 1,231
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
Joint Bi-layer Optimization for Single-Image Rain Streak Removal
Zhu, L., Fu, C.-W., Lischinski, D., & Heng, P.-A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.276 · Cited by 334
Metadata
- Authors
- Kim, J.-H., Lee, C., Sim, J.-Y., & Kim, C.-S.
- Venue
- 2013 IEEE International Conference on Image Processing
- Publisher
- IEEE
- Published
- 2013-09
- Pages
- 914-917
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2054604489
- Cited by
- 273
- References
- 9
- FWCI
- 1.92
- Type
- conference paper
- 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: Single-image deraining using an adaptive nonlocal means filter. https://app.cochat.ai/papers/10.1109/icip.2013.6738189
- The paper
- Kim, J.-H., Lee, C., Sim, J.-Y., & Kim, C.-S. (2013). Single-image deraining using an adaptive nonlocal means filter. 2013 IEEE International Conference on Image Processing. https://doi.org/10.1109/icip.2013.6738189
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.