IEEE Transactions on Computational Imaging

Papers
(The TQCC of IEEE Transactions on Computational Imaging is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
High-Throughput Decomposition-Inspired Deep Unfolding Network for Image Compressed Sensing104
CSA-FCN: Channel- and Spatial-Gated Attention Mechanism Based Fully Complex-Valued Neural Network for System Matrix Calibration in Magnetic Particle Imaging57
SLBL-PU: Shadow-Based Layer-by-Layer Phase Unwrapping for Efficient 3D Measurement47
Cytopathology Image Super-Resolution of Portable Microscope Based on Convolutional Window-Integration Transformer47
Dual Bidirectional Feature Enhancement Network for Continuous Space-Time Video Super-Resolution45
Denoising Knowledge Transfer Model for Zero-Shot MRI Reconstruction42
RIRO: From Retinex-Inspired Reconstruction Optimization Model to Deep Low-Light Image Enhancement Unfolding Network39
Side Information-Assisted Low-Dose CT Reconstruction37
Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring26
TMSST-RID: A Target-Oriented SAR-ISAR Imaging Method Based on Synchrosqueezing26
FoveaSPAD: Exploiting Depth Priors for Adaptive and Efficient Single-Photon 3D Imaging26
Relaxation-Based Super-Resolution Method in Pulsed Magnetic Particle Imaging25
A Single-Pixel Imaging Based Stereo Deflectometry for 3D Reconstruction of Free-Form Transparent Objects With Parasitic Reflections24
An Adaptive Photon Count Reconstruction Algorithm for Sparse Count and Strong Noise Count Data With Low Signal Background Ratio24
Joint Demosaicing and Fusion of Multiresolution Coded Acquisitions: A Unified Image Formation and Reconstruction Method24
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing22
TPU Based Deep Learning Image Enhancement for Real-Time Point-of-Care Ultrasound22
Spectral Memory-Enhanced Network With Local Non-Local and Low-Rank Priors for Hyperspectral Image Compressive Imaging21
DTDeMo: A Deep Learning-Based Two-Stage Image Demosaicing Model With Interpolation and Enhancement21
Progressive Self-Supervised Learning for CASSI Computational Spectral Cameras21
Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees20
Exposure-Referred Signal-to-Noise Ratio for Digital Image Sensors20
Complex Valued Long Short Term Memory Based Architecture for Frequency Domain Photoacoustic Imaging19
Fast and Robust Single Particle Reconstruction in 3D Fluorescence Microscopy19
Extended Depth-of-Field Lensless Imaging Using an Optimized Radial Mask18
An Ultra-sparse View CT Imaging Method Based on X-ray2CTNet18
Material Identification From Radiographs Without Energy Resolution17
Quantitative Phase and Absorption Contrast Imaging17
Joint Reconstruction and Spatial Super-Resolution of Hyper-Spectral CTIS Images via Multi-Scale Refinement17
Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems16
Deep, Convergent, Unrolled Half-Quadratic Splitting for Image Deconvolution16
GraphEIT: Unsupervised Graph Neural Networks for Electrical Impedance Tomography15
Light Field Reconstruction Using Efficient Pseudo 4D Epipolar-Aware Structure15
Injected Infrared and Visible Image Fusion via $L_{1}$ Decomposition Model and Guided Filtering15
Photon Limited Non-Blind Deblurring Using Algorithm Unrolling15
Robust Deep Compressive Sensing With Recurrent-Residual Structural Constraints15
Single-Shot Tomography of Discrete Dynamic Objects15
Craniofacial Volumetric Image Estimation From a Lateral Cephalogram Using Cross-Dimensional Discrete Embedding Mapping14
Constrained Predictive Filters for Single Image Bokeh Rendering14
An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction14
Statistical Stability of Correlation Based Imaging Algorithms14
IEEE Signal Processing Society Information14
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography14
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging14
Spectral2Spectral: Image-Spectral Similarity Assisted Deep Spectral CT Reconstruction Without Reference14
Joint Translational Motion Compensation and High-Resolution ISAR Imaging Based on Sparse Bayesian Learning14
Bistatic Forward-Looking SAR Imaging of Uniformly Moving Target Based on Improved BP Algorithm13
Differentiable Uncalibrated Imaging13
An Efficient Method for Modelling Millimeter-Wave Scan for Security Screening of Humans13
Ultrasonic Imaging Through Aberrating Layers Using Covariance Matching13
LIR-Net:Learnable Iterative Reconstruction Network for Fan Beam CT Sparse-View Reconstruction12
Disparity Computation With Low Intensity Quantization on Stereo Image Pairs12
SVRNet: First Investigation of Single-View Reconstruction Network for Fluorescence Molecular Tomography12
Hierarchical Edge Refinement Network for Guided Depth Map Super-Resolution11
A Study on Establishing a Dynamic Color Schlieren System to Observe Airflow and Predict Temperature Changes11
Depth Estimation From a Single Optical Encoded Image Using a Learned Colored-Coded Aperture11
Local-Global Dynamic Filtering Network for Video Super-Resolution10
A Box-Spline Framework for Inverse Problems With Continuous-Domain Sparsity Constraints10
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging10
Improved Sparse Signal Recovery via Adaptive Correlated Noise Model10
The Secrets of Non-Blind Poisson Deconvolution10
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction9
Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction9
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant Attention9
Looking Around Flatland: End-to-End 2D Real-Time NLOS Imaging9
Wavenumber Spectrum Reconstruction Method for Microwave Computational Imaging With Re-Programmable Metasurface9
A Memory-Efficient Self-Supervised Dynamic Image Reconstruction Method Using Neural Fields8
Multi-Frame Constrained Block Sparse Bayesian Learning for Flexible Tactile Sensing Using Electrical Impedance Tomography8
High-Accuracy Image Formation Model for Coded Aperture Snapshot Spectral Imaging8
Frequency-Spatial Domain Feature Fusion for Spectral Super-Resolution8
Photon-Efficient Non-Line-of-Sight Imaging8
WNet: A Data-Driven Dual-Domain Denoising Model for Sparse-View Computed Tomography With a Trainable Reconstruction Layer8
Towards Data-Informed Motion Artifact Reduction in Quantitative CT Using Piecewise Linear Interpolation8
Quick unsupervised hyperspectral dimensionality reduction for earth observation: a comparison8
Computational Imaging for Machine Perception: Transferring Semantic Segmentation Beyond Aberrations8
MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging8
Light Field Angular Super-Resolution Network Based on Convolutional Transformer and Deep Deblurring7
Light Field Image Super-Resolution Network via Joint Spatial-Angular and Epipolar Information7
High Resolution Diffuse Optical Tomography via Neural Fields7
Axial Super-Resolution in Optical Coherence Tomography Images via Spectrum-Based Self-Supervised Training7
NAS Powered Deep Image Prior for Electrical Impedance Tomography7
Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging7
A Neural-Network-Based Convex Regularizer for Inverse Problems7
Joint Denoising and HDR for RAW Image Sequences6
Region-Based Spectral-Spatial Mutual Induction Network for Hyperspectral Image Reconstruction6
PRNet: Pyramid Restoration Network for RAW Image Super-Resolution6
Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging6
HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction6
Learning Task-Specific Strategies for Accelerated MRI6
Low-Light Image Enhancement via Implicit Priors Regularized Illumination Optimization6
Compact Representation of Light Field Data for Refocusing and Focal Stack Reconstruction Using Depth Adaptive Multi-CNN6
Adaptive Local Neighborhood-Based Neural Networks for MR Image Reconstruction From Undersampled Data6
No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy6
Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions6
MAPANet: A Multi-Scale Attention-Guided Progressive Aggregation Network for Multi-Contrast MRI Super-Resolution5
F2IFlow for CT Metal Artifact Reduction5
Deep Learned Non-Linear Propagation Model Regularizer for Compressive Spectral Imaging5
Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data5
SPECT Reconstruction With a Trained Regularizer Using CT-Side Information: Application to $^{177}$Lu SPECT Imaging5
Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI5
Interpretable Deep Attention Prior for Image Restoration and Enhancement5
Hybrid Approaches in Microwave Imaging Using Quantitative Time- and Frequency-Domain Algorithms5
Learning to Describe Scenes via Privacy-Aware Designed Optical Lens5
Online Beam Current Estimation in Particle Beam Microscopy5
A Transformer-Based Architecture for High-Resolution Stereo Matching5
Blind NCS-Based Autofocus for Airborne Wide-Beam SAR Imaging5
From Patch to Pixel: A Transformer-Based Hierarchical Framework for Compressive Image Sensing5
Blind Motion Deblurring With Pixel-Wise Kernel Estimation via Kernel Prediction Networks5
Ultrasound Imaging of Bone Cortex Using Block-Based Reconstruction5
SparseAlign: A Grid-Free Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography5
Multi-Layered Surface Estimation for Low-Cost Optical Coherence Tomography5
Conditional Injective Flows for Bayesian Imaging5
Unrolled Wirtinger Flow With Deep Decoding Priors for Phaseless Imaging5
Contrast Saliency Information Guided Infrared and Visible Image Fusion5
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