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Suman Kumar Maji
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2020 – today
- 2024
- [j16]Hazique Aetesam, Suman Kumar Maji:
Deep variational magnetic resonance image denoising via network conditioning. Biomed. Signal Process. Control. 95: 106452 (2024) - [j15]Anirban Saha
, Arihant K. R.
PCENet: Deep SAR Despeckling Network Using Parallel Convolutional Encoding Modules. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j14]Anirban Saha
SAR Despeckling Model Extracting Dependency Pattern Over GAN-Estimated Speckle and Restricted Gradient-Based Features. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - 2023
- [j13]Hazique Aetesam
Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising. J. Digit. Imaging 36(2): 725-738 (2023) - [j12]Suman Kumar Maji
A Joint Denoising Technique for Mixed Gaussian-Impulse Noise Removal in HSI. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j11]Ramesh Kumar Thakur
Multi scale pixel attention and feature extraction based neural network for image denoising. Pattern Recognit. 141: 109603 (2023) - 2022
- [j10]Ramesh Kumar Thakur
Gradient and Multi Scale Feature Inspired Deep Blind Gaussian Denoiser. IEEE Access 10: 34170-34184 (2022) - [j9]Ramesh Kumar Thakur
AGSDNet: Attention and Gradient-Based SAR Denoising Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c9]Suman Kumar Maji, Anirban Saha
A Bayesian Approach to Gaussian-Impulse Noise Removal Using Hessian Norm Regularization. CVIP (1) 2022: 224-234 - [c8]Ramesh Kumar Thakur
SIFSDNet: Sharp Image Feature Based SAR Denoising Network. IGARSS 2022: 3428-3431 - [c7]Hazique Aetesam
Attention-Based Noise Prior Network for Magnetic Resonance Image Denoising. ISBI 2022: 1-4 - [c6]Ramesh Kumar Thakur
Blind Gaussian Deep Denoiser Network using Multi-Scale Pixel Attention. VCIP 2022: 1-5 - 2021
- [j8]Hazique Aetesam
Bayesian Approach in a Learning-Based Hyperspectral Image Denoising Framework. IEEE Access 9: 169335-169347 (2021) - [j7]Hazique Aetesam
Noise dependent training for deep parallel ensemble denoising in magnetic resonance images. Biomed. Signal Process. Control. 66: 102405 (2021) - [c5]Shashi Kumar, Hazique Aetesam, Anirban Saha
Attention-Based Deep Autoencoder for Hyperspectral Image Denoising. CVIP (2) 2021: 159-170 - [c4]Suman Kumar Maji, Jérôme Boulanger:
A Variational Model For Poisson Gaussian Joint Denoising Deconvolution. ISBI 2021: 1527-1530 - 2020
- [j6]Hazique Aetesam
Proximal approach to denoising hyperspectral images under mixed-noise model. IET Image Process. 14(14): 3366-3372 (2020) - [j5]Suman Kumar Maji
SAR image denoising based on multifractal feature analysis and TV regularisation. IET Image Process. 14(16): 4158-4167 (2020) - [j4]Suman Kumar Maji
Structure-Preserving Denoising of SAR Images Using Multifractal Feature Analysis. IEEE Geosci. Remote. Sens. Lett. 17(12): 2100-2104 (2020) - [c3]Hazique Aetesam
A Two-Phase Splitting Approach for the Removal of Gaussian-Impulse Noise from Hyperspectral Images. CVIP (1) 2020: 179-190
2010 – 2019
- 2019
- [c2]Hazique Aetesam
A Mixed-Norm Fidelity Model for Hyperspectral Image Denoising under Gaussian-Impulse Noise. ICIT 2019: 137-142 - 2016
- [j3]Suman Kumar Maji, Hussein M. Yahia, Thierry Fusco
A Multifractal-Based Wavefront Phase Estimation Technique for Ground-Based Astronomical Observations. IEEE Trans. Geosci. Remote. Sens. 54(3): 1705-1715 (2016) - 2014
- [j2]Suman Kumar Maji, Hussein M. Yahia:
Edges, transitions and criticality. Pattern Recognit. 47(6): 2104-2115 (2014) - 2013
- [b1]Suman Kumar Maji:
Multiscale methods in signal processing for adaptive optics. (Méthode multi-échelles en traitement du signal pour optique adaptative). University of Bordeaux, France, 2013 - [j1]Suman Kumar Maji, Hussein M. Yahia, Hicham Badri:
Reconstructing an image from its edge representation. Digit. Signal Process. 23(6): 1867-1876 (2013) - 2012
- [c1]Suman Kumar Maji, Hussein M. Yahia, Oriol Pont, Joël Sudre
Towards multiscale reconstruction of perturbated phase from Hartmann-Shack acquisitions. AHS 2012: 77-84
Coauthor Index
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last updated on 2024-10-09 20:32 CEST by the dblp team
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