Subhadip Mukherjee
Orcid: 0000-0001-8324-3865
According to our database1,
Subhadip Mukherjee
authored at least 55 papers
between 2012 and 2024.
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Bibliography
2024
A shell-matrix-based image steganography technique for multimedia security and covert communication.
Innov. Syst. Softw. Eng., December, 2024
Data-Driven Gradient Regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction.
IEEE Trans. Medical Imaging, March, 2024
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration.
Trans. Mach. Learn. Res., 2024
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems.
SIAM J. Imaging Sci., 2024
Parallel BFS through pennant data structure with reducer hyper-object based data hiding for 3D mesh images.
Secur. Priv., 2024
IoTSLE: Securing IoT systems in low-light environments through finite automata, deep learning and DNA computing based image steganographic model.
Internet Things, 2024
CoRR, 2024
CoRR, 2024
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI.
Comput. Methods Programs Biomed., 2024
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
SIAM J. Math. Data Sci., June, 2023
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications.
IEEE Signal Process. Mag., 2023
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging.
CoRR, 2023
CoRR, 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems.
CoRR, 2023
Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Int. J. Wavelets Multiresolution Inf. Process., 2022
Tree species classification from hyperspectral data using graph-regularized neural networks.
CoRR, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2022
2021
J. Inf. Secur. Appl., 2021
Learning convex regularizers satisfying the variational source condition for inverse problems.
CoRR, 2021
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
PhaseSense - Signal Reconstruction from Phase-Only Measurements via Quadratic Programming.
Proceedings of the International Conference on Signal Processing and Communications, 2020
2019
A Novel Method for High Capacity Reversible Data Hiding Scheme Using Difference Expansion.
Int. J. Nat. Comput. Res., 2019
2018
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging.
CoRR, 2017
2016
ℓ<sub>1</sub>-K-SVD: A robust dictionary learning algorithm with simultaneous update.
Signal Process., 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2014
Fienup Algorithm With Sparsity Constraints: Application to Frequency-Domain Optical-Coherence Tomography.
IEEE Trans. Signal Process., 2014
CoRR, 2014
A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Phase retrieval for a class of 2-D signals characterized by first-order difference equations.
Proceedings of the IEEE International Conference on Image Processing, 2013
2012
An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012