Suman Kumar Maji

Orcid: 0000-0003-4019-0980

According to our database1, Suman Kumar Maji authored at least 26 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
SAR Despeckling Model Extracting Dependency Pattern Over GAN-Estimated Speckle and Restricted Gradient-Based Features.
IEEE Trans. Geosci. Remote. Sens., 2024

PCENet: Deep SAR Despeckling Network Using Parallel Convolutional Encoding Modules.
IEEE Geosci. Remote. Sens. Lett., 2024

Deep variational magnetic resonance image denoising via network conditioning.
Biomed. Signal Process. Control., 2024

2023
Multi scale pixel attention and feature extraction based neural network for image denoising.
Pattern Recognit., September, 2023

Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising.
J. Digit. Imaging, April, 2023

A Joint Denoising Technique for Mixed Gaussian-Impulse Noise Removal in HSI.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
AGSDNet: Attention and Gradient-Based SAR Denoising Network.
IEEE Geosci. Remote. Sens. Lett., 2022

Gradient and Multi Scale Feature Inspired Deep Blind Gaussian Denoiser.
IEEE Access, 2022

Blind Gaussian Deep Denoiser Network using Multi-Scale Pixel Attention.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Attention-Based Noise Prior Network for Magnetic Resonance Image Denoising.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

SIFSDNet: Sharp Image Feature Based SAR Denoising Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Bayesian Approach to Gaussian-Impulse Noise Removal Using Hessian Norm Regularization.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2021
Noise dependent training for deep parallel ensemble denoising in magnetic resonance images.
Biomed. Signal Process. Control., 2021

Bayesian Approach in a Learning-Based Hyperspectral Image Denoising Framework.
IEEE Access, 2021

A Variational Model For Poisson Gaussian Joint Denoising Deconvolution.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Attention-Based Deep Autoencoder for Hyperspectral Image Denoising.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020
Structure-Preserving Denoising of SAR Images Using Multifractal Feature Analysis.
IEEE Geosci. Remote. Sens. Lett., 2020

SAR image denoising based on multifractal feature analysis and TV regularisation.
IET Image Process., 2020

Proximal approach to denoising hyperspectral images under mixed-noise model.
IET Image Process., 2020

A Two-Phase Splitting Approach for the Removal of Gaussian-Impulse Noise from Hyperspectral Images.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

2019
A Mixed-Norm Fidelity Model for Hyperspectral Image Denoising under Gaussian-Impulse Noise.
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019

2016
A Multifractal-Based Wavefront Phase Estimation Technique for Ground-Based Astronomical Observations.
IEEE Trans. Geosci. Remote. Sens., 2016

2014
Edges, transitions and criticality.
Pattern Recognit., 2014

2013
Multiscale methods in signal processing for adaptive optics. (Méthode multi-échelles en traitement du signal pour optique adaptative).
PhD thesis, 2013

Reconstructing an image from its edge representation.
Digit. Signal Process., 2013

2012
Towards multiscale reconstruction of perturbated phase from Hartmann-Shack acquisitions.
Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, 2012


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