The Shannon total variation R Abergel, L Moisan Journal of Mathematical Imaging and Vision 59 (2), 341-370, 2017 | 42 | 2017 |
Total variation restoration of images corrupted by poisson noise with iterated conditional expectations R Abergel, C Louchet, L Moisan, T Zeng Scale Space and Variational Methods in Computer Vision: 5th International …, 2015 | 26 | 2015 |
Subpixellic methods for sidelobes suppression and strong targets extraction in single look complex SAR images R Abergel, L Denis, S Ladjal, F Tupin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 23 | 2018 |
LSDSAR, a Markovian a contrario framework for line segment detection in SAR images C Liu, R Abergel, Y Gousseau, F Tupin Pattern Recognition 98, 107034, 2020 | 15 | 2020 |
Multitemporal speckle reduction with self-supervised deep neural networks I Meraoumia, E Dalsasso, L Denis, R Abergel, F Tupin IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023 | 14 | 2023 |
Algorithm 1006: Fast and accurate evaluation of a generalized incomplete gamma function R Abergel, L Moisan ACM Transactions on Mathematical Software (TOMS) 46 (1), 1-24, 2020 | 14* | 2020 |
Resolution-preserving speckle reduction of SAR images: The benefits of speckle decorrelation and targets extraction R Abergel, L Denis, F Tupin, S Ladjal, CA Deledalle, A Almansa IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 7 | 2019 |
Several mathematical models and fast algorithms for image processing R Abergel HAL 2016, 2016 | 7 | 2016 |
A complex spectrum based SAR image resampling method with restricted target sidelobes and statistics preservation R Abergel, S Ladjal, F Tupin, JM Nicolas | 6 | 2017 |
A line segment detector for SAR images with controlled false alarm rate C Liu, R Abergel, Y Gousseau, F Tupin IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 2 | 2018 |
Accelerated a-contrario detection of smooth trajectories R Abergel, L Moisan 2014 22nd European Signal Processing Conference (EUSIPCO), 2200-2204, 2014 | 2 | 2014 |
Electron Paramagnetic Resonance Image Reconstruction with Total Variation Regularization R Abergel, M Boussâa, S Durand, YM Frapart Image Processing On Line, 2023 | 1 | 2023 |
Hyperspectral signal reconstruction from interferometric measurements with enriched Fourier bases Y Mhiri, R Abergel, A Almansa, L Moisan | | 2024 |
Ultrafast multiple paramagnetic species EPR imaging using a total variation based model M Boussâa, R Abergel, S Durand, YM Frapart Journal of Magnetic Resonance 357, 107583, 2023 | | 2023 |
Self-supervised learning of deep despeckling networks with MERLIN: ensuring the statistical independence of the real and imaginary parts E Dalsasso, F Brigui, L Denis, R Abergel, F Tupin | | 2023 |
Method for constructing a high-resolution merged signal or image from a low-resolution plurality of signals or a low-resolution plurality of images R Abergel, A Almansa, G Blanchet, C Latry, L Moisan US Patent App. 18/079,700, 2023 | | 2023 |
A Review on the Adaptive-Ridge Algorithm with several extensions R Abergel, O Bouaziz, G Nuel | | 2023 |
Procédé de construction d’un signal ou d’une image fusionné (e) haute résolution à partir d’une pluralité de signaux ou d’une pluralité d’images basse résolution R Abergel, A Almansa, G Blanchet, C Latry, L Moisan | | 2020 |
2018 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 11 R Abergel, K Abernethy, SK Abramov, J Abuduwaili, F Adam, IS Adams, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | | 2018 |
Dual methods for the minimization of the total variation R Abergel | | |