The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation
Abstract
In this paper, the relationship between bilateral filtering and anisotropic diffusion is examined. The bilateral filtering approach represents a large class of nonlinear digital image filters. We first explore the connection between anisotropic diffusion and adaptive smoothing, and then the connection between adaptive smoothing and bilateral filtering. Previously, adaptive smoothing was considered to be an inconsistent approximation to the nonlinear diffusion equation. We extend adaptive smoothing to make it consistent, thus enabling a unified viewpoint that relates nonlinear digital image filters and the nonlinear diffusion equation.
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
Bilateral Filtering for Gray and Color Images
Tomasi, C., & Manduchi, R. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710815 · Cited by 8,177 · cited 9×
“Bilateral filtering was introduced [ 9 ] as a nonlinear filter which combines domain and range filtering.”
BackgroundMethodInfluential
Cited by
Bilateral Filtering: Theory and Applications
Paris, S., Kornprobst, P., Tumblin, J., & Durand, F. (2009) · Foundations and Trends in Computer Graphics and Vision · doi:10.1561/0600000020 · Cited by 586
Automatic Estimation and Removal of Noise from a Single Image
Liu, C., Szeliski, R., Kang, S. B., Zitnick, C. L., & Freeman, W. T. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1176 · Cited by 486
Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing
Elmoataz, A., Lezoray, O., & Bougleux, S. (2008) · IEEE Transactions on Image Processing · doi:10.1109/tip.2008.924284 · Cited by 466
Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal
Zhang, B., & Allebach, J. P. (2008) · IEEE Transactions on Image Processing · doi:10.1109/tip.2008.919949 · Cited by 403
Metadata
- Authors
- Barash, D.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2002-06
- Volume
- 24
- Issue
- 6
- Pages
- 844-847
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2168896212
- Cited by
- 514
- References
- 1
- FWCI
- 16.10
- 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: Fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation. https://app.cochat.ai/papers/10.1109/tpami.2002.1008390
- The paper
- Barash, D. (2002). Fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2002.1008390
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.