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Non-Local Means Denoising
Open accessAbstract
We present in this paper a new denoising method called non-local means. The method is based on a simple principle: replacing the color of a pixel with an average of the colors of similar pixels. But the most similar pixels to a given pixel have no reason to be close at all. It is therefore licit to scan a vast portion of the image in search of all the pixels that really resemble the pixel one wants to denoise. The paper presents two implementations of the method and displays some results.
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Cited by
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NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising
Deledalle, C.-A., Denis, L., Tupin, F., Reigber, A., & Jager, M. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2352555 · Cited by 448
FlexISP: a flexible camera image processing framework
Heide, F., Steinberger, M., Tsai, Y.-T., Rouf, M., Pająk, D., Reddy, D., Gallo, O., Liu, J., Heidrich, W., Egiazarian, K., et al. (2014) · ACM Transactions on Graphics · doi:10.1145/2661229.2661260 · Cited by 298
Chianese, M., Coogan, A., Hofma, P., Otten, S., & Weniger, C. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa1477 · Cited by 36
Tunable image quality control of 3-D ultrasound using switchable CycleGAN
Huh, J., Khan, S., Choi, S., Shin, D., Lee, J. E., Lee, E. S., & Ye, J. C. (2023) · Medical Image Analysis · doi:10.1016/j.media.2022.102651 · Cited by 14
Metadata
- Authors
- Buades, A., Coll, B., & Morel, J.-M.
- Venue
- Image Processing On Line
- Publisher
- Image Processing On Line
- Published
- 2011-09-13
- Volume
- 1
- Pages
- 208-212
- ISSN
- 2105-1232 (ISSN-L)
- OpenAlex
- W2041625018
- Cited by
- 1,090
- References
- 0
- FWCI
- 13.46
- Type
- journal article
- Language
- en
- Open access
- diamond
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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.
