Bhabesh Deka

Orcid: 0000-0002-9679-6159

According to our database1, Bhabesh Deka authored at least 31 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
A Deep Learning-Based Joint Image Super-Resolution and Deblurring Framework.
IEEE Trans. Artif. Intell., June, 2024

Integrated convolutional neural networks for joint super-resolution and classification of radar images.
Pattern Recognit., 2024

2023
Edge-Preserving Single Remote-Sensing Image Super-resolution Using Sparse Representations.
SN Comput. Sci., May, 2023

Joint Sparse Representation-based Single Image Super-Resolution for Remote Sensing Applications.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Detection of Meditation-Induced HRV Dynamics Using Averaging Technique-Based Oversampled Feature Set and Machine Learning Classifiers.
IEEE Access, 2023

Litchi Fruit Instance Segmentation from UAV Sensed Images Using Spatial Attention-Based Deep Learning Model.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023

2022
A deep framework for enhancement of diagnostic information in CSMRI reconstruction.
Biomed. Signal Process. Control., 2022

2021
Characterization of heart rate variability signal for distinction of meditative and pre-meditative states.
Biomed. Signal Process. Control., 2021

Coded-Aperture Computational Millimeter-Wave Image Classifier Using Convolutional Neural Network.
IEEE Access, 2021

Stratification of High-Risk Hypertensive Patients Using Hybrid Heart Rate Variability Features and Boosting Algorithms.
IEEE Access, 2021

2020
Sparse Representation based Super-Resolution of MRI Images with Non-Local Total Variation Regularization.
SN Comput. Sci., 2020

Fast multi-spectral image super-resolution via sparse representation.
IET Image Process., 2020

Multichannel ECG Compression using Block-Sparsity-based Joint Compressive Sensing.
Circuits Syst. Signal Process., 2020

Diffusion-weighted and spectroscopic MRI super-resolution using sparse representations.
Biomed. Signal Process. Control., 2020

Calibrationless joint compressed sensing reconstruction for rapid parallel MRI.
Biomed. Signal Process. Control., 2020

2019
Weighted Block Compressed Sensing for Multichannel Fetal ECG Reconstruction.
Proceedings of the TENCON 2019, 2019

Sparsity Regularization Based Spatial-Spectral Super-Resolution of Multispectral Imagery.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Block-Sparsity Based Compressed Sensing for Multichannel ECG Reconstruction.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Group-Sparsity Based Compressed Sensing Reconstruction for Fast Parallel MRI.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Interpolated Compressed Sensing for Calibrationless Parallel MRI Reconstruction.
Proceedings of the National Conference on Communications, 2019

2018
Wavelet Tree Support Detection for Compressed Sensing MRI Reconstruction.
IEEE Signal Process. Lett., 2018

Efficient interpolated compressed sensing reconstruction scheme for 3D MRI.
IET Image Process., 2018

2017
Sparse regularization method for the detection and removal of random-valued impulse noise.
Multim. Tools Appl., 2017

Multi-channel, Multi-slice, and Multi-contrast Compressed Sensing MRI Using Weighted Forest Sparsity and Joint TV Regularization Priors.
Proceedings of the Soft Computing for Problem Solving, 2017

A Fast Satellite Image Super-Resolution Technique Using Multicore Processing.
Proceedings of the Hybrid Intelligent Systems, 2017

2016
Efficient adaptive weighted minimization for compressed sensing magnetic resonance image reconstruction.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

2014
High Throughput MR Image Reconstruction Using Compressed Sensing.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013
Removal of correlated speckle noise using sparse and overcomplete representations.
Biomed. Signal Process. Control., 2013

Single image super-resolution using compressive sensing with learned overcomplete dictionary.
Proceedings of the Fourth National Conference on Computer Vision, 2013

2012
Removal of random-valued impulse noise using overcomplete DCT dictionary.
Proceedings of the CUBE International IT Conference & Exhibition, 2012

2006
Watershed Segmentation for Medical Ultrasound Images.
Proceedings of the IEEE International Conference on Systems, 2006


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