The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction
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Citations
Cites
A theory for multiresolution signal decomposition: the wavelet representation
Mallat, S. G. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.192463 · Cited by 21,372
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
Bertsekas, D. P. (1997) · Journal of the Operational Research Society · doi:10.1038/sj.jors.2600425 · Cited by 11,726
Orthonormal bases of compactly supported wavelets
Daubechies, I. (1988) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.3160410705 · Cited by 8,190
The Laplacian pyramid as a compact image code
Burt, P., & Adelson, E. (1983) · IEEE Transactions on Communications · doi:10.1109/tcom.1983.1095851 · Cited by 6,077
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Olshausen, B. A., & Field, D. J. (1996) · Nature · doi:10.1038/381607a0 · Cited by 5,694
Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape
Grossmann, A., & Morlet, J. (1984) · SIAM Journal on Mathematical Analysis · doi:10.1137/0515056 · Cited by 3,624
Vetterli, M., & Kovačević, J. (1995) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 2,898
The curvelet transform for image denoising
Starck, J.-L., Candes, E. J., & Donoho, D. L. (2002) · IEEE Transactions on Image Processing · doi:10.1109/tip.2002.1014998 · Cited by 2,253
The Radon Transform and Some of Its Applications
Deans, S. R. (1983) · Cited by 1,801
Cited by
Fast Discrete Curvelet Transforms
Candès, E., Demanet, L., Donoho, D., & Ying, L. (2006) · Multiscale Modeling & Simulation · doi:10.1137/05064182x · Cited by 2,573
Self-citationNew tight frames of curvelets and optimal representations of objects with piecewise C2 singularities
Candès, E. J., & Donoho, D. L. (2004) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.10116 · Cited by 1,545
Self-citationImage decomposition via the combination of sparse representations and a variational approach
Starck, J.-L., Elad, M., & Donoho, D. L. (2005) · IEEE Transactions on Image Processing · doi:10.1109/tip.2005.852206 · Cited by 987
Templates for convex cone problems with applications to sparse signal recovery
Becker, S. R., Candès, E. J., & Grant, M. C. (2011) · Mathematical Programming Computation · doi:10.1007/s12532-011-0029-5 · Cited by 608
Self-citationHuman face recognition based on multidimensional PCA and extreme learning machine
Mohammed, A. A., Minhas, R., Jonathan Wu, Q. M., & Sid-Ahmed, M. A. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.03.013 · Cited by 324
Metadata
- Authors
- Candès, E. J., & Guo, F.
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 2002-11
- Volume
- 82
- Issue
- 11
- Pages
- 1519-1543
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W2008419427
- Cited by
- 290
- References
- 22
- FWCI
- 17.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Candès, E. J., & Guo, F. (2002). New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction. Signal Processing. https://doi.org/10.1016/s0165-1684(02)00300-6
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.
