Astronomical image denoising using dictionary learning
A&A, 556 (2013) A132
Published online: 2013-08-08
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
A variational PDNet network using a learning reaction–diffusion equation
Abdelmajid El Hakoume, Amine Laghrib, Lekbir Afraites and Aissam HadriExpert Systems with Applications 249 123605 (2024)
https://doi.org/10.1016/j.eswa.2024.123605
CoaddNet: Enhancing signal-to-noise ratio in single-shot images using convolutional neural networks with coadded image effect
Zhi-Ren Pan, Bo Qiu, A-Li Luo, Qi Li, Zhi-Jun Liu and Fu-Ji RenApplied Soft Computing 167 112395 (2024)
https://doi.org/10.1016/j.asoc.2024.112395
1261 205 (2024)
https://doi.org/10.1007/978-981-97-7616-0_15
Trends and Advancements of Image Processing and Its Applications
Ajay Sudhir Bale, S. Saravana Kumar, M. S. Kiran Mohan and N. VinayEAI/Springer Innovations in Communication and Computing, Trends and Advancements of Image Processing and Its Applications 281 (2022)
https://doi.org/10.1007/978-3-030-75945-2_15
1966 (2022)
https://doi.org/10.23919/EUSIPCO55093.2022.9909810
Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Y. Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier and Carlos Fernandez-GrandaIEEE Transactions on Computational Imaging 8 585 (2022)
https://doi.org/10.1109/TCI.2022.3176536
A weighted parameter identification PDE-constrained optimization for inverse image denoising problem
Lekbir Afraites, Aissam Hadri, Amine Laghrib and Mourad NachaouiThe Visual Computer 38 (8) 2883 (2022)
https://doi.org/10.1007/s00371-021-02162-x
94 (2021)
https://doi.org/10.1109/PIC53636.2021.9687023
51 (2021)
https://doi.org/10.1109/ICICIS52592.2021.9694140
Learning to denoise astronomical images with U-nets
Antonia Vojtekova, Maggie Lieu, Ivan Valtchanov, et al.Monthly Notices of the Royal Astronomical Society 503 (3) 3204 (2021)
https://doi.org/10.1093/mnras/staa3567
ECG-Based Identification of Sudden Cardiac Death through Sparse Representations
Josue R. Velázquez-González, Hayde Peregrina-Barreto, Jose J. Rangel-Magdaleno, Juan M. Ramirez-Cortes and Juan P. Amezquita-SanchezSensors 21 (22) 7666 (2021)
https://doi.org/10.3390/s21227666
The improved image inpainting algorithm via encoder and similarity constraint
Yuantao Chen, Linwu Liu, Jiajun Tao, et al.The Visual Computer 37 (7) 1691 (2021)
https://doi.org/10.1007/s00371-020-01932-3
12361 749 (2020)
https://doi.org/10.1007/978-3-030-58517-4_44
A comparative analysis of denoising algorithms for extragalactic imaging surveys
V. Roscani, S. Tozza, M. Castellano, et al.Astronomy & Astrophysics 643 A43 (2020)
https://doi.org/10.1051/0004-6361/201936278
Block-Based Noisy/Clean Classification of Images Using the Common Vector Approach
Hasan Basar Kalyoncu, Semih Ergin and Mehmet Bilginer GulmezogluCircuits, Systems, and Signal Processing 39 (3) 1387 (2020)
https://doi.org/10.1007/s00034-019-01199-7
Semisupervised Dictionary Learning with Graph Regularized and Active Points
K. H. Tran, F. M. Ngolè Mboula, J. L. Starck and V. ProstSIAM Journal on Imaging Sciences 13 (2) 724 (2020)
https://doi.org/10.1137/19M1285469
A denoising model adapted for impulse and Gaussian noises using a constrained-PDE
L Afraites, A Hadri and A LaghribInverse Problems 36 (2) 025006 (2020)
https://doi.org/10.1088/1361-6420/ab5178
Learning sparse representations on the sphere
F. Sureau, F. Voigtlaender, M. Wust, J.-L. Starck and G. KutyniokAstronomy & Astrophysics 621 A73 (2019)
https://doi.org/10.1051/0004-6361/201834041
27 (2017)
https://doi.org/10.1117/12.2277179
High resolution weak lensing mass mapping combining shear and flexion
F. Lanusse, J.-L. Starck, A. Leonard and S. PiresAstronomy & Astrophysics 591 A2 (2016)
https://doi.org/10.1051/0004-6361/201628278
Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors
Cristian Rusu, Nuria Gonzalez-Prelcic and Robert W. HeathIEEE Transactions on Signal Processing 64 (24) 6589 (2016)
https://doi.org/10.1109/TSP.2016.2612168
241 (2016)
https://doi.org/10.1109/SIBGRAPI.2016.041
Super-resolution method using sparse regularization for point-spread function recovery
F. M. Ngolè Mboula, J.-L. Starck, S. Ronayette, K. Okumura and J. AmiauxAstronomy & Astrophysics 575 A86 (2015)
https://doi.org/10.1051/0004-6361/201424167
SNIa detection in the SNLS photometric analysis using Morphological Component Analysis
A. Möller, V. Ruhlmann-Kleider, F. Lanusse, et al.Journal of Cosmology and Astroparticle Physics 2015 (04) 041 (2015)
https://doi.org/10.1088/1475-7516/2015/04/041
On the Computational Intractability of Exact and Approximate Dictionary Learning
Andreas M. TillmannIEEE Signal Processing Letters 22 (1) 45 (2015)
https://doi.org/10.1109/LSP.2014.2345761
Recent Development of Dual-Dictionary Learning Approach in Medical Image Analysis and Reconstruction
Bigong Wang and Liang LiComputational and Mathematical Methods in Medicine 2015 1 (2015)
https://doi.org/10.1155/2015/152693
Segmentation of endocardium in ultrasound images based on sparse representation over learned redundant dictionaries
Roberto Rosas-Romero and Hemant D. TagareEngineering Applications of Artificial Intelligence 29 201 (2014)
https://doi.org/10.1016/j.engappai.2013.09.008
A PCA-based automated finder for galaxy-scale strong lenses
R. Joseph, F. Courbin, R. B. Metcalf, et al.Astronomy & Astrophysics 566 A63 (2014)
https://doi.org/10.1051/0004-6361/201423365
Remote detection of forest fires from video signals with classifiers based on K-SVD learned dictionaries
Roberto Rosas-RomeroEngineering Applications of Artificial Intelligence 33 1 (2014)
https://doi.org/10.1016/j.engappai.2014.03.011
Automatic stellar spectral classification via sparse representations and dictionary learning
R. Díaz-Hernández, H. Peregrina-Barreto, L. Altamirano-Robles, J. A. González-Bernal and A. E. Ortiz-EsquivelExperimental Astronomy 38 (1-2) 193 (2014)
https://doi.org/10.1007/s10686-014-9413-2