Suman Kumar Maji

IEEE Trans. Geosci. Remote. Sens., 2024

PCENet: Deep SAR Despeckling Network Using Parallel Convolutional Encoding Modules.

[BibT_eX]

[DOI]

Arihant K. R.

IEEE Geosci. Remote. Sens. Lett., 2024

Deep variational magnetic resonance image denoising via network conditioning.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

Despeckling SAR Images Using CNN-Based Approach Incorporating GAN and Gradient Estimation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Multi scale pixel attention and feature extraction based neural network for image denoising.

[BibT_eX]

[DOI]

Pattern Recognit., September, 2023

Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising.

[BibT_eX]

[DOI]

J. Digit. Imaging, April, 2023

A Joint Denoising Technique for Mixed Gaussian-Impulse Noise Removal in HSI.

[BibT_eX]

[DOI]

Arsh Mahajan

IEEE Geosci. Remote. Sens. Lett., 2023

2022

AGSDNet: Attention and Gradient-Based SAR Denoising Network.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Gradient and Multi Scale Feature Inspired Deep Blind Gaussian Denoiser.

[BibT_eX]

[DOI]

IEEE Access, 2022

Blind Gaussian Deep Denoiser Network using Multi-Scale Pixel Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Attention-Based Noise Prior Network for Magnetic Resonance Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

SIFSDNet: Sharp Image Feature Based SAR Denoising Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Bayesian Approach to Gaussian-Impulse Noise Removal Using Hessian Norm Regularization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

Bayesian Approach in a Learning-Based Hyperspectral Image Denoising Framework.

[BibT_eX]

[DOI]

IEEE Access, 2021

A Variational Model For Poisson Gaussian Joint Denoising Deconvolution.

[BibT_eX]

[DOI]

Jérôme Boulanger

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Attention-Based Deep Autoencoder for Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020

Structure-Preserving Denoising of SAR Images Using Multifractal Feature Analysis.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

SAR image denoising based on multifractal feature analysis and TV regularisation.

[BibT_eX]

[DOI]

IET Image Process., 2020

Proximal approach to denoising hyperspectral images under mixed-noise model.

[BibT_eX]

[DOI]

Kumari Poonam

IET Image Process., 2020

A Two-Phase Splitting Approach for the Removal of Gaussian-Impulse Noise from Hyperspectral Images.

[BibT_eX]

[DOI]

Jérôme Boulanger

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.

[BibT_eX]

[DOI]

Kumari Poonam

Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019

2016

A Multifractal-Based Wavefront Phase Estimation Technique for Ground-Based Astronomical Observations.

[BibT_eX]

[DOI]

Thierry Fusco

IEEE Trans. Geosci. Remote. Sens., 2016

2014

Edges, transitions and criticality.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

2013

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

[BibT_eX]

[DOI]

PhD thesis, 2013

Reconstructing an image from its edge representation.

[BibT_eX]

[DOI]