Charles Deledalle
Charles Deledalle
Research Scientist / Engineer at Brain Corp
Email verificata su braincorp.com - Home page
Titolo
Citata da
Citata da
Anno
Iterative weighted maximum likelihood denoising with probabilistic patch-based weights
CA Deledalle, L Denis, F Tupin
IEEE Transactions on Image Processing 18 (12), 2661-2672, 2009
6232009
NL-SAR: A unified nonlocal framework for resolution-preserving (Pol)(In) SAR denoising
CA Deledalle, L Denis, F Tupin, A Reigber, M Jäger
IEEE Transactions on Geoscience and Remote Sensing 53 (4), 2021-2038, 2014
2892014
Poisson noise reduction with non-local PCA
J Salmon, Z Harmany, CA Deledalle, R Willett
Journal of mathematical imaging and vision, 2014
2482014
Non-local methods with shape-adaptive patches (NLM-SAP)
CA Deledalle, V Duval, J Salmon
Journal of Mathematical Imaging and Vision, 1-18, 2011
2402011
NL-InSAR: Nonlocal interferogram estimation
CA Deledalle, L Denis, F Tupin
IEEE Transactions on Geoscience and Remote Sensing 49 (4), 1441-1452, 2010
2092010
How to compare noisy patches? Patch similarity beyond Gaussian noise
CA Deledalle, L Denis, F Tupin
International journal of computer vision 99 (1), 86-102, 2012
1242012
Exploiting patch similarity for SAR image processing: the nonlocal paradigm
CA Deledalle, L Denis, G Poggi, F Tupin, L Verdoliva
IEEE Signal Processing Magazine 31 (4), 69-78, 2014
1212014
Poisson NL means: Unsupervised non local means for Poisson noise
CA Deledalle, F Tupin, L Denis
2010 IEEE international conference on image processing, 801-804, 2010
1202010
Adaptive regularization of the NL-means: Application to image and video denoising
C Sutour, CA Deledalle, JF Aujol
IEEE Transactions on image processing 23 (8), 3506-3521, 2014
1152014
Image denoising with patch based PCA: local versus global
CA Deledalle, J Salmon, A Dalalyan
Proceedings of the British Machine Vision Conference, 25.1-25.10, 2011
1032011
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection
CA Deledalle, S Vaiter, J Fadili, G Peyré
SIAM Journal on Imaging Sciences 7 (4), 2448-2487, 2014
882014
MuLoG, or how to apply Gaussian denoisers to multi-channel SAR speckle reduction?
CA Deledalle, L Denis, S Tabti, F Tupin
IEEE Transactions on Image Processing 26 (9), 4389-4403, 2017
572017
Polarimetric SAR estimation based on non-local means
CA Deledalle, F Tupin, L Denis
2010 IEEE International Geoscience and Remote Sensing Symposium, 2515-2518, 2010
512010
Revisiting the human uncinate fasciculus, its subcomponents and asymmetries with stem-based tractography and microdissection validation
J Hau, S Sarubbo, JC Houde, F Corsini, G Girard, C Deledalle, F Crivello, ...
Brain Structure and Function 222 (4), 1645-1662, 2017
472017
Local behavior of sparse analysis regularization: Applications to risk estimation
S Vaiter, C Deledalle, G Peyré, C Dossal, J Fadili
Applied and Computational Harmonic Analysis 35 (3), 433-451, 2013
352013
Two-step multitemporal nonlocal means for synthetic aperture radar images
X Su, CA Deledalle, F Tupin, H Sun
IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6181-6196, 2014
342014
The degrees of freedom of partly smooth regularizers
S Vaiter, C Deledalle, J Fadili, G Peyré, C Dossal
Annals of the Institute of Statistical Mathematics 69 (4), 791-832, 2017
322017
Clear: Covariant least-square refitting with applications to image restoration
CA Deledalle, N Papadakis, J Salmon, S Vaiter
SIAM Journal on Imaging Sciences 10 (1), 243-284, 2017
292017
Machine learning in acoustics: Theory and applications
MJ Bianco, P Gerstoft, J Traer, E Ozanich, MA Roch, S Gannot, ...
The Journal of the Acoustical Society of America 146 (5), 3590-3628, 2019
27*2019
Estimation of the noise level function based on a nonparametric detection of homogeneous image regions
C Sutour, CA Deledalle, JF Aujol
SIAM Journal on Imaging Sciences 8 (4), 2622-2661, 2015
252015
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20