The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Nontexture Inpainting by Curvature-Driven Diffusions
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Citations
Cites
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
Geman, S., & Geman, D. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767596 · Cited by 17,949
Nonlinear total variation based noise removal algorithms
Rudin, L. I., Osher, S., & Fatemi, E. (1992) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(92)90242-f · Cited by 15,704
Scale-space and edge detection using anisotropic diffusion
Perona, P., & Malik, J. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.56205 · Cited by 12,119
Optimal approximations by piecewise smooth functions and associated variational problems
Mumford, D., & Shah, J. (1989) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.3160420503 · Cited by 5,208
Bertalmio, M., Sapiro, G., Caselles, V., & Ballester, C. (2000) · Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00 · doi:10.1145/344779.344972 · Cited by 3,580
Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II
Alvarez, L., Lions, P.-L., & Morel, J.-M. (1992) · SIAM Journal on Numerical Analysis · doi:10.1137/0729052 · Cited by 2,208
Image recovery via total variation minimization and related problems
Chambolle, A., & Lions, P.-L. (1997) · Numerische Mathematik · doi:10.1007/s002110050258 · Cited by 1,569
Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
Catté, F., Lions, P.-L., Morel, J.-M., & Coll, T. (1992) · SIAM Journal on Numerical Analysis · doi:10.1137/0729012 · Cited by 1,468
Fast texture synthesis using tree-structured vector quantization
Wei, L.-Y., & Levoy, M. (2000) · Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00 · doi:10.1145/344779.345009 · Cited by 1,356
Mathematical Models for Local Nontexture Inpaintings
Shen, J., & Chan, T. F. (2002) · SIAM Journal on Applied Mathematics · doi:10.1137/s0036139900368844 · Cited by 1,195
Self-citation
Cited by
Region Filling and Object Removal by Exemplar-Based Image Inpainting
Criminisi, A., Perez, P., & Toyama, K. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.833105 · Cited by 3,258
An Image Inpainting Technique Based on the Fast Marching Method
Telea, A. (2004) · Journal of Graphics Tools · doi:10.1080/10867651.2004.10487596 · Cited by 1,421
Image Inpainting : Overview and Recent Advances
Guillemot, C., & Le Meur, O. (2014) · IEEE Signal Processing Magazine · doi:10.1109/msp.2013.2273004 · Cited by 608
Robust image hashing using non-uniform sampling in discrete Fourier domain
Qin, C., Chang, C.-C., & Tsou, P.-L. (2013) · Digital Signal Processing · doi:10.1016/j.dsp.2012.11.002 · Cited by 81
The Shape Boltzmann Machine: A strong model of object shape
Eslami, S. M. A., Heess, N., & Winn, J. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6247702 · Cited by 61
Metadata
- Authors
- Chan, T. F., & Shen, J.
- Venue
- Journal of Visual Communication and Image Representation
- Publisher
- Elsevier BV
- Published
- 2001-12
- Volume
- 12
- Issue
- 4
- Pages
- 436-449
- ISSN
- 1047-3203 (ISSN-L)
- OpenAlex
- W2064309976
- Cited by
- 932
- References
- 19
- FWCI
- 15.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Nontexture Inpainting by Curvature-Driven Diffusions. https://app.cochat.ai/papers/10.1006/jvci.2001.0487
- The paper
- Chan, T. F., & Shen, J. (2001). Nontexture Inpainting by Curvature-Driven Diffusions. Journal of Visual Communication and Image Representation. https://doi.org/10.1006/jvci.2001.0487
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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.
