Towards multiscale reconstruction of perturbated phase from Hartmann-Shack acquisitions. - Suman Kumar Maji; Hussein M. Yahia; Oriol Pont; Joël Sudre; Thierry Fusco; Vincent Michau (AHS, 2012)

Reconstructing an image from its edge representation. - Suman Kumar Maji; Hussein M. Yahia; Hicham Badri (Digit. Signal Process., 2013)

Multiscale methods in signal processing for adaptive optics. (Méthode multi-échelles en traitement du signal pour optique adaptative). - Suman Kumar Maji (2013)

Edges, transitions and criticality. - Suman Kumar Maji; Hussein M. Yahia (Pattern Recognit., 2014)

A Multifractal-Based Wavefront Phase Estimation Technique for Ground-Based Astronomical Observations. - Suman Kumar Maji; Hussein M. Yahia; Thierry Fusco (IEEE Trans. Geosci. Remote. Sens., 2016)

A Mixed-Norm Fidelity Model for Hyperspectral Image Denoising under Gaussian-Impulse Noise. - Hazique Aetesam; Kumari Poonam; Suman Kumar Maji (ICIT, 2019)

A Two-Phase Splitting Approach for the Removal of Gaussian-Impulse Noise from Hyperspectral Images. - Hazique Aetesam; Suman Kumar Maji; Jérôme Boulanger (CVIP (1), 2020)

Proximal approach to denoising hyperspectral images under mixed-noise model. - Hazique Aetesam; Kumari Poonam; Suman Kumar Maji (IET Image Process., 2020)

SAR image denoising based on multifractal feature analysis and TV regularisation. - Suman Kumar Maji; Ramesh Kumar Thakur; Hussein M. Yahia (IET Image Process., 2020)

Structure-Preserving Denoising of SAR Images Using Multifractal Feature Analysis. - Suman Kumar Maji; Ramesh Kumar Thakur; Hussein M. Yahia (IEEE Geosci. Remote. Sens. Lett., 2020)

Attention-Based Deep Autoencoder for Hyperspectral Image Denoising. - Shashi Kumar; Hazique Aetesam; Anirban Saha; Suman Kumar Maji (CVIP (2), 2021)

A Variational Model For Poisson Gaussian Joint Denoising Deconvolution. - Suman Kumar Maji; Jérôme Boulanger (ISBI, 2021)

Bayesian Approach in a Learning-Based Hyperspectral Image Denoising Framework. - Hazique Aetesam; Suman Kumar Maji; Hussein M. Yahia (IEEE Access, 2021)

Noise dependent training for deep parallel ensemble denoising in magnetic resonance images. - Hazique Aetesam; Suman Kumar Maji (Biomed. Signal Process. Control., 2021)

A Bayesian Approach to Gaussian-Impulse Noise Removal Using Hessian Norm Regularization. - Suman Kumar Maji; Anirban Saha (CVIP (1), 2022)

SIFSDNet: Sharp Image Feature Based SAR Denoising Network. - Ramesh Kumar Thakur; Suman Kumar Maji (IGARSS, 2022)

Attention-Based Noise Prior Network for Magnetic Resonance Image Denoising. - Hazique Aetesam; Suman Kumar Maji (ISBI, 2022)

Blind Gaussian Deep Denoiser Network using Multi-Scale Pixel Attention. - Ramesh Kumar Thakur; Suman Kumar Maji (VCIP, 2022)

Gradient and Multi Scale Feature Inspired Deep Blind Gaussian Denoiser. - Ramesh Kumar Thakur; Suman Kumar Maji (IEEE Access, 2022)

AGSDNet: Attention and Gradient-Based SAR Denoising Network. - Ramesh Kumar Thakur; Suman Kumar Maji (IEEE Geosci. Remote. Sens. Lett., 2022)

A Joint Denoising Technique for Mixed Gaussian-Impulse Noise Removal in HSI. - Suman Kumar Maji; Arsh Mahajan (IEEE Geosci. Remote. Sens. Lett., 2023)

Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising. - Hazique Aetesam; Suman Kumar Maji (J. Digit. Imaging, 2023)

Multi scale pixel attention and feature extraction based neural network for image denoising. - Ramesh Kumar Thakur; Suman Kumar Maji (Pattern Recognit., 2023)

MDFIDNet: Multi-domain Feature Integration Denoising Network. - Debashis Das; Suman Kumar Maji (ICPR (32), 2024)

Despeckling SAR Images Using CNN-Based Approach Incorporating GAN and Gradient Estimation. - Anirban Saha; Suman Kumar Maji (ICPR (22), 2024)

Deep variational magnetic resonance image denoising via network conditioning. - Hazique Aetesam; Suman Kumar Maji (Biomed. Signal Process. Control., 2024)

PCENet: Deep SAR Despeckling Network Using Parallel Convolutional Encoding Modules. - Anirban Saha; Arihant K. R.; Suman Kumar Maji (IEEE Geosci. Remote. Sens. Lett., 2024)

SAR Despeckling Model Extracting Dependency Pattern Over GAN-Estimated Speckle and Restricted Gradient-Based Features. - Anirban Saha; Suman Kumar Maji (IEEE Trans. Geosci. Remote. Sens., 2024)

DRSFANet: Dual-Path CNN with Residual and Frequency Attention for Image Denoising. - Manish Kumar; Suman Kumar Maji; Anirban Saha (ICASSP, 2025)

A Joint Total Variational Denoising Technique for Hyperspectral Imaging. - Suman Kumar Maji (NCC, 2025)

A Variational Model for Image Restoration under Blur and Noise using Nuclear Norm regularization. - Suman Kumar Maji; Jérôme Boulanger (NCC, 2025)

GNN-Based Collaborative Filtering Approach for Movie Recommender System. - Toshit Tejasvat; Jayaramu HK; Suman Kumar Maji (NCC, 2025)

Hyperspectral image restoration using noise gradient and dual priors under mixed noise conditions. - Hazique Aetesam; Suman Kumar Maji; V. B. Surya Prasath (CAAI Trans. Intell. Technol., 2025)

Enhanced RSVQA Insight Through Synergistic Visual-Linguistic Attention Models. - Anirban Saha; Suman Kumar Maji (IEEE Geosci. Remote. Sens. Lett., 2025)

SAR-CDCFRN: A novel SAR despeckling approach utilizing correlated dual channel feature-based residual network. - Anirban Saha; Arihant K. R.; Suman Kumar Maji (Signal Process. Image Commun., 2025)