Menu
Home
Biography
Teaching
Research
Publications

Publications

Book Chapters

  • H. Aetesam, S. K. Maji and J. Boulanger, “The Evolution of Image Denoising from Model-driven to Machine Learning: A Mathematical Perspective”, Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era, IGI Global, PENN, USA, page 179-210, 2023.

  • H. Aetesam, S. K. Maji and J. Boulanger, “Image Enhancement under Gaussian Impulse Noise for Satellite and Medical Applications”, Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era, IGI Global, PENN, USA, page 309-342, 2023.

SCI Indexed Journals

  • R. K. Thakur and S. K. Maji, “Multi Scale Pixel Attention and Feature Extraction based Neural Network for Image Denoising”, Pattern Recognition (Elsevier), 141, 109603, 2023. H index 218

  • S. K. Maji and H. Aetesam, “lp-norm Induced Successive Denoising for Hyperspectral Images”, Remote Sensing Letters, 14 (4), 334-345, 2023. H index 43

  • H. Aetesam and S. K. Maji, “Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising”, Journal of Digital Imaging, 36 (2), 725-738, 2022. H index 63

  • S. K. Maji and A. Mahajan, “A Joint Denoising Technique for Mixed Gaussian-Impulse Noise Removal in HSI”, IEEE Geoscience and Remote Sensing Letters, 20, 1-5, 2023. H index 114

  • H. Aetesam and S. K. Maji, “Perceptually-Motivated Adversarial Training for Deep Ensemble Denoising of Hyperspectral Images”, Remote Sensing Letters, 13 (8), 767-777, 2022. H index 43

  • R. K. Thakur and S. K. Maji, “Gradient and Multi Scale Feature Inspired Deep Blind Gaussian Denoiser”, IEEE Access, 10, 34170-34184, 2022. H index 127

  • R. K. Thakur and S. K. Maji, “AGSDNet: Attention and Gradient based SAR Denoising Network”, IEEE Geoscience and Remote Sensing Letters, 19, 1-5, 2022. H index 114

  • H. Aetesam, S. K. Maji and H. Yahia, “Bayesian Approach in a Learning-Based Hyperspectral Image Denoising Framework”, IEEE Access, 9, 169335-169347, 2021. H index 127

  • H. Yahia, N. Schneider, S. Bontemps, L. Bonne, G. Attuel, S. Dib, V. Ossenkopf, A. Turiel, A. Zebadua, D. Elia, S. K. Maji, F. G. Schmitt, J.-F Robitaille, “Description of turbulent dynamics in the interstellar medium: multifractal/microcanonical analysis I. Application to Herschel observations of the Musca filament”, Astronomy & Astrophysics (EDP Sciences), 2021. H index 272

  • H. Aetesam and S. K. Maji, “Noise Dependent Training for Deep Parallel Ensemble Denoising in Magnetic Resonance Images”, Biomedical Signal Processing and Control (Elsevier), 66, 102405, 2021. H index 72

  • S. K. Maji, R. K. Thakur and H. Yahia, “SAR Image Denoising using Multifractal Feature Analysis based TV Regularization”, IET Image Processing, 14 (16), 4158-4167, 2020. H index 45

  • H. Aetesam, K. Poonam and S. K. Maji, “A Proximal Approach to Denoising Hyperspectral Images under Mixed-Noise Model”, IET Image Processing, 14 (14), 3366-3372, 2020. H index 45

  • S. K. Maji, R. K. Thakur and H. Yahia, “Structure Preserving Denoising of SAR Images using Multifractal Feature Analysis”, IEEE Geoscience and Remote Sensing Letters, 17 (12), 2100-2104, 2020. H index 114

  • A. El Aouni, K. Daoudi, H. Yahia, S. K. Maji and K. Minaoui, “Defining Lagrangian coherent vortices from their trajectories”, Physics of Fluids, 32 (1), 016602, 2020. H index 166

  • S. K. Maji and H. Yahia, “A Feature based Reconstruction Model for Fluorescence Microscopy Image Denoising”, Scientific Reports (Nature Publishing Group), 9 : 7725, 2019. H index 179

  • D. Guet, L.T. Burns*, S. Maji*, J. Boulanger, P. Hersen, S.R. Wente, J. Salamero and C. Dargemont, “Combining Spinach-tagged RNA and gene localization to image gene expression in live yeast”, Nature Communications, 6 : 8882, 2015. * Authors share equal contribution H index 365

  • S. K. Maji, H. Yahia and T. Fusco, “A Multifractal based Wavefront Phase Estimation Technique for Ground-Based Astronomical Imaging”, IEEE Transactions in Geoscience and Remote Sensing, 54 (3), 1705-1715, 2015. H index 236

  • S. K. Maji and H. Yahia, “Edges, Transitions and Criticality”, Pattern Recognition (Elsevier), 47 (6) : 2104-2115, 2014. H index 210

  • S. K. Maji, H. Yahia and H. Badri, “Reconstructing an image from its edge representation”, Digital Signal Processing (Elsevier), 23 (6) : 1867-1876, 2013. H index 76

Peer Reviewed Conferences

International Conferences

  • A. Saha and S. K. Maji, “SAR Image Despeckling Convolutional Model with Integrated Frequency Filtration Technique”, IEEE Region 10 Conference TENCON 2022, Hong Kong. Core Rank C

  • R. K. Thakur and S. K. Maji, “Image Denoising based on Multi Domain Feature Inspired Convolutional Neural Network”, IEEE Region 10 Conference TENCON 2022, Hong Kong. Core Rank C

  • S. K. Maji and R. K. Thakur, "A Successive Variational Model for Multiplicative Noise and Blur Removal, IEEE India Council International Conference INDICON 2022, Cochin University of Science & Technology, Kerala.

  • R. K. Thakur and S. K. Maji, “Blind Gaussian Deep Denoiser Network using Multi-Scale Pixel Attention”, IEEE Visual Communication and Image Processing VCIP 2022, Suzhou, China. Core Rank B

  • S. K. Maji and A. Saha, “A Bayesian Approach to Gaussian-Impulse Noise Removal using Hessian Norm Regularization”, 7th IAPR International Conference on Computer Vision & Image Processing CVIP 2022, VNIT Nagpur, India.

  • H. Aetesam and S. K. Maji, “Attention-Based Noise Prior Network for Magnetic Resonance Image Denoising”, IEEE International Symposium on Biomedical Imaging ISBI 2022, Kolkata, India. ERA Rank A

  • R. K. Thakur and S. K. Maji, “SIFSDNET: Sharp Image Feature based SAR Denoising Network”, IEEE International Geoscience and Remote Sensing Symposium IGARSS 2022, Kuala Lampur, Malayasia. Core Rank C

  • S. Kumar, H. Aetesam, A. Saha and S. K. Maji, “Attention-Based Deep Autoencoder for Hyperspectral Image Denoising”, 6th IAPR International Conference on Computer Vision & Image Processing CVIP 2021, IIT Ropar, India.

  • S. K. Maji and J. Boulanger, “ A variational model for Poisson Gaussian Joint denoising deconvolution”, IEEE International Symposium on Biomedical Imaging ISBI 2021, Nice, France. ERA Rank A

  • H. Aetesam and S. K. Maji, “A Two-Phase Splitting Approach for the Removal of Gaussian-Impulse Noise from Hyperspectral Images”, 5th IAPR International Conference on Computer Vision & Image Processing CVIP 2020, IIIT Allahabad, India.

  • R. K. Thakur and S. K. Maji, “A Variational Approach to Image Despeckling under Varied Blur”, IEEE 7th International Conference on Signal Processing and Integrated Networks, New Delhi, India, 2020.

  • R. Kumar and S. K. Maji, “A Novel Framework for Denoised High Resolution Generative Adversarial Network : DHRGAN”, IEEE 7th International Conference on Signal Processing and Integrated Networks, New Delhi, India, 2020.

  • H. Aetesam and S. K. Maji, “Ultrasound Image Deconvolution adapted to Gaussian and Speckle Noise Statistics”, IEEE 7th International Conference on Signal Processing and Integrated Networks, New Delhi, India, 2020.

  • K. S. Jauhri, R. K. Thakur and S. K. Maji, “A Blind Metric Based Variational Approach for Ultrasound Image Denoising”, IEEE International Conference on Contemporary Computing and Applications, Lucknow, India, 2020.

  • H. Aetesam and S. K. Maji, L2-L1 Fidelity based Elastic Net Regularisation for Magnetic Resonance Image Denoising", IEEE International Conference on Contemporary Computing and Applications, Lucknow, India, 2020.

  • H. Aetesam, K. Poonam and S. K. Maji, A Mixed-Norm Fidelity Model for Hyperperspectral Image Denoising under Gaussian-Impulse Noise", IEEE 18th International Conference on Information Technology ICIT 2019, IIIT Bhubaneshwar, India.

  • S. K. Maji, C. Dargemont, J. Salamero and J. Boulanger, “Joint Denoising-Deconvolution approach for fluorescence microscopy”, IEEE International Symposium on Biomedical Imaging ISBI 2016, Prague, Czec Republic. ERA Rank A

  • S. K. Maji, T. Fusco and H. Yahia, “Cross-scale inference and wavefront reconstruction”, SPIE International Conference on Astronomical telescopes and instrumentation, Montreal, Canada, 2014.

  • S. K. Maji, O. Pont, H. Yahia and J. Sudre, “Inferring Information across Scales in Acquired Complex Signals”, European Conference on Complex Systems ECCS 2012, Brussels, Belgium.

  • S. K. Maji, H. Yahia, O. Pont, J. Sudre, T. Fusco and V. Michau, “Towards Multiscale Reconstruction of Perturbated Phase from Hartmann-Shack Acquisitions”, IEEE NASA/ESA Conference on Adaptive Hardware and Systems AHS 2012, Nuremberg, Germany.

  • S. K. Maji, H. Yahia, O. Pont, T. Fusco, V. Michau and J. Sudre, “A multiscale approach to phase reconstruction for Adaptive Optics”, IEEE 10th International Workshop on Electronics, Control, Measurement and Signals ECMS 2011, Liberec, Czec Republic.

Other Symposium and Workshops

  • S.K. Maji, D. Guet, L. Burns, J. Boulanger, P. Hersen, S. Wente, J.Salamero, C. Dargemont, “Imaging workflow for mRNA tracking in living yeast cells”, Quantitative Bioimaging Conference 2015, Paris, France.

  • J. Boulanger, N.Barry, S. K. Maji, “Joint denoising deconvolution”, Quantitative Bioimaging Conference 2020, Oxford, UK.