Most cited papers in Image and Signal Denoising Methods
What are the most cited papers in Image and Signal Denoising Methods?
The most cited paper in Image and Signal Denoising Methods is "A Computational Approach to Edge Detection" (John Canny, 1986), with 29,563 citations. Next come "Compressed sensing" (23,533) and "Pattern Recognition and Machine Learning" (22,033).
Showing 50 of 98 papers. Every paper with more than 2,221 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | A Computational Approach to Edge Detection John Canny · IEEE Transactions on Pattern Analysis and Machine Intelligence | Nov 1986 | 29,563 |
| 2 | Compressed sensing David L. Donoho · IEEE Transactions on Information Theory | Apr 2006 | 23,533 |
| 3 | Pattern Recognition and Machine Learning Nasser M. Nasrabadi · Journal of Electronic Imaging | 2007 | 22,033 |
| 4 | A theory for multiresolution signal decomposition: the wavelet representation Stéphane Mallat · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jul 1989 | 21,434 |
| 5 | Reducing the Dimensionality of Data with Neural Networks Geoffrey E. Hinton, Ruslan Salakhutdinov · Science | 27 Jul 2006 | 21,368 |
| 6 | Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images Stuart Geman, Donald Geman · IEEE Transactions on Pattern Analysis and Machine Intelligence | Nov 1984 | 18,093 |
| 7 | Nonlinear total variation based noise removal algorithms L. Rudin, Stanley Osher, Emad Fatemi · Physica D Nonlinear Phenomena | Nov 1992 | 15,969 |
| 8 | Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information Emmanuel J. Candès, Justin K. Romberg, Terence Tao · IEEE Transactions on Information Theory | 25 Jan 2006 | 15,931 |
| 9 | Ten Lectures on Wavelets Ingrid C. Daubechies, Christopher Heil · Computers in Physics | 1992 | 15,440 |
| 10 | A Practical Guide to Wavelet Analysis Christopher Torrence, Gilbert P. Compo · Bulletin of the American Meteorological Society | 1998 | 15,178 |
| 11 | A Global Geometric Framework for Nonlinear Dimensionality Reduction Joshua B. Tenenbaum, Vin de Silva, John C. Langford · Science | 22 Dec 2000 | 13,882 |
| 12 | A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems Amir Beck, Marc Teboulle · SIAM Journal on Imaging Sciences | 2009 | 12,347 |
| 13 | Scale-space and edge detection using anisotropic diffusion Pietro Perona, Jitendra Malik · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jul 1990 | 12,182 |
| 14 | Savitzky-Golay Smoothing Filters William H. Press, Saul A. Teukolsky · Computers in Physics | Nov 1990 | 11,772 |
| 15 | Mean shift: a robust approach toward feature space analysis Dorin Comaniciu, Peter Meer · IEEE Transactions on Pattern Analysis and Machine Intelligence | May 2002 | 11,456 |
| 16 | De-noising by soft-thresholding David L. Donoho · IEEE Transactions on Information Theory | May 1995 | 9,709 |
| 17 | Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering Kostadin Dabov, Alessandro Foi, Vladimir Y. Katkovnik et al. · IEEE Transactions on Image Processing | Aug 2007 | 9,395 |
| 18 | Matching pursuits with time-frequency dictionaries Stéphane Mallat, Zhifeng Zhang · IEEE Transactions on Signal Processing | 1993 | 9,224 |
| 19 | Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Kai Zhang, Wangmeng Zuo, Yunjin Chen et al. · IEEE Transactions on Image Processing | Feb 2017 | 9,223 |
| 20 | Orthonormal bases of compactly supported wavelets Ingrid C. Daubechies · Communications on Pure and Applied Mathematics | Oct 1988 | 8,242 |
| 21 | Bilateral filtering for gray and color images Carlo Tomasi, Roberto Manduchi | 27 Nov 2002 | 8,211 |
| 22 | Nonlinear Component Analysis as a Kernel Eigenvalue Problem Bernhard Schölkopf, Alexander Johannes Smola, Klaus‐Robert Müller · Neural Computation | Jul 1998 | 8,164 |
| 23 | Ideal spatial adaptation by wavelet shrinkage David L. Donoho, Iain M. Johnstone · Biometrika | Sep 1994 | 7,913 |
| 24 | On the use of windows for harmonic analysis with the discrete Fourier transform Fred J. Harris · Proceedings of the IEEE | 1978 | 7,317 |
| 25 | Stable signal recovery from incomplete and inaccurate measurements Emmanuel J. Candès, Justin Romberg, Terence Tao · Communications on Pure and Applied Mathematics | Mar 2006 | 7,249 |
| 26 | A Non-Local Algorithm for Image Denoising Antoni Buades, B. Coll, Jean‐Michel Morel | 27 Jul 2005 | 7,245 |
| 27 | An Algorithm for Vector Quantizer Design Y. Linde, Andres Buzo, Robert M. Gray · IEEE Transactions on Communications | 1980 | 7,224 |
| 28 | Fundamentals of digital image processing Anil Kumar Jain | 3 Oct 1988 | 7,013 |
| 29 | Atomic Decomposition by Basis Pursuit Scott Shaobing Chen, David L. Donoho, Michael A. Saunders · SIAM Journal on Scientific Computing | 1998 | 7,009 |
| 30 | Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? Emmanuel J. Candès, Terence Tao · IEEE Transactions on Information Theory | Dec 2006 | 6,984 |
| 31 | N4ITK: Improved N3 Bias Correction Nicholas J. Tustison, Brian Avants, Philip A. Cook et al. · IEEE Transactions on Medical Imaging | 9 Apr 2010 | 6,579 |
| 32 | The wavelet transform, time-frequency localization and signal analysis Ingrid C. Daubechies · IEEE Transactions on Information Theory | 1990 | 6,510 |
| 33 | The Laplacian Pyramid as a Compact Image Code P.M.S. Burt, Edward H. Adelson · IRE Transactions on Communications Systems | Apr 1983 | 6,102 |
| 34 | Multiscale structural similarity for image quality assessment Zhou Wang, Eero P. Simoncelli, Alan Conrad Bovik | 8 Jul 2004 | 6,069 |
| 35 | No-Reference Image Quality Assessment in the Spatial Domain A. Mittal, Anush Krishna Moorthy, Alan Conrad Bovik · IEEE Transactions on Image Processing | 17 Aug 2012 | 6,046 |
| 36 | Transformed Up-Down Methods in Psychoacoustics Harry N. Levitt · The Journal of the Acoustical Society of America | Feb 1971 | 5,573 |
| 37 | Guided Image Filtering Kaiming He, Jian Zhong Sun, Xiaoou Tang · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2 Oct 2012 | 5,494 |
| 38 | Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries Michael Elad, Michal Aharon · IEEE Transactions on Image Processing | 15 Nov 2006 | 5,442 |
| 39 | A new, fast, and efficient image codec based on set partitioning in hierarchical trees Amir Said, William A. Pearlman · IEEE Transactions on Circuits and Systems for Video Technology | Jun 1996 | 5,360 |
| 40 | Image Super-Resolution Via Sparse Representation Jianchao Yang, John N. Wright, Thomas S. Huang et al. · IEEE Transactions on Image Processing | 26 May 2010 | 5,333 |
| 41 | Discrete Cosine Transform N. Ahmed, T.R. Natarajan, K.R. Rao · IEEE Transactions on Computers | 1974 | 5,116 |
| 42 | An iterative thresholding algorithm for linear inverse problems with a sparsity constraint Ingrid Daubechies, Michel Defrise, Christine De Mol · Communications on Pure and Applied Mathematics | 26 Aug 2004 | 5,044 |
| 43 | Enhancing Sparsity by Reweighted ℓ 1 Minimization Emmanuel J. Candès, Michael B. Wakin, Stephen Boyd · Journal of Fourier Analysis and Applications | 14 Oct 2008 | 5,007 |
| 44 | Principal warps: thin-plate splines and the decomposition of deformations Fred L. Bookstein · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jun 1989 | 4,986 |
| 45 | Embedded image coding using zerotrees of wavelet coefficients J.M. Shapiro · IEEE Transactions on Signal Processing | 1993 | 4,827 |
| 46 | Image Quality Metrics: PSNR vs. SSIM Alain Horé, Djemel Ziou | Aug 2010 | 4,676 |
| 47 | SwinIR: Image Restoration Using Swin Transformer Jingyun Liang, Jiezhang Cao, Guolei Sun et al. | Oct 2021 | 4,644 |
| 48 | Generative Adversarial Networks: An Overview Antonia Creswell, Tom White, Vincent Dumoulin et al. · IEEE Signal Processing Magazine | 2018 | 4,566 |
| 49 | Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition Yagyensh C. Pati, R. Rezaiifar, Perinkulam S. Krishnaprasad | 30 Dec 2002 | 4,414 |
| 50 | Adapting to Unknown Smoothness via Wavelet Shrinkage David L. Donoho, Iain M. Johnstone · Journal of the American Statistical Association | Dec 1995 | 4,375 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.