Journal of Mathematical Imaging and Vision

Papers
(The median citation count of Journal of Mathematical Imaging and Vision is 1. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Texture Matching GAN for CT Image Enhancement28
Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework23
Multivalued Component Tree: New Results and a Bridge Between Partial and Total Partition Trees23
An Edge-Preserving Regularization Model for the Demosaicing of Noisy Color Images20
A Structured L-BFGS Method with Diagonal Scaling and Its Application to Image Registration20
Vectorial Total Symmetric Variation and Applications to Color Image Decomposition19
Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising17
Multiscale Hierarchical Decomposition Methods for Images Corrupted by Multiplicative Noise15
A Riemannian Covariance for Manifold-Valued Data14
Image Denoising via $$L^2$$-Norm of Anisotropic Mean Curvature of Image Surface13
Application of Integral Invariants to Apictorial Jigsaw Puzzle Assembly11
Enhancing a Kernel Method for Shape Analysis in Kendall Space11
Novel Arc-Cost Functions and Seed Relevance Estimations for Compact and Accurate Superpixels10
Regularising Inverse Problems with Generative Machine Learning Models10
Finding Space-Time Boundaries with Deformable Hypersurfaces10
Plug and Play Splitting Techniques for Poisson Image Restoration9
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models9
Unrestricted Sequential Discrete Morphological Neural Networks9
Generalised Watson Distribution on the Hypersphere with Applications to Clustering8
Scale Generalisation Properties of Extended Scale-Covariant and Scale-Invariant Gaussian Derivative Networks on Image Datasets with Spatial Scaling Variations8
Minimizing Mean Curvature of Image Surface via Bilinear Decomposition for Image Reconstruction8
Differential Oriented Image Foresting Transform and Its Applications to Support High-level Priors for Object Segmentation7
Sigma Flows for Image and Data Labeling and Learning Structured Prediction7
Wavelets in the Deep Learning Era6
Robust Dynamic SPECT Reconstruction with Scarce Angular and Limited Temporal Sampling6
A $$\varGamma $$-Convergence Result and An Off-the-Grid Charge Algorithm for Curve Reconstruction in Inverse Problems6
Computing the Minimal Perimeter Polygon for Sets of Rectangular Tiles based on Visibility Cones5
Linear and Nonlinear Generative Models for ‘Zero-Shot’ Image Denoising in the Limit of Few Photons5
Morse Sequences: A Simple Approach to Discrete Morse Theory5
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping5
Introducing Poset-Based Connected n-Manifolds and $$\mathcal {P}$$-well-composedness in Partially Ordered Sets5
Consistent Approximation of Interpolating Splines in Image Metamorphosis5
Hybrid Lie Semi-Group and Cascade Structures for the Generalized Gaussian Derivative Model for Visual Receptive Fields5
Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group5
An Adaptively Inexact Method for Bilevel Learning Using Primal–Dual-Style Differentiation4
A Non-convex Regularization Fusing Low-rankness and Smoothness for Tensor Recovery4
New Properties for Full Convex Sets and Full Convex Hulls4
Statistical Modeling of Deep Features to Reduce False Alarms in Video Change Detection4
Two Models for Surface Segmentation using the Total Variation of the Normal Vector4
LAMA-Net: A Convergent Network Architecture for Dual-Domain Reconstruction4
Nonlocal Adaptive Biharmonic Regularizer for Image Restoration4
About the Incorporation of Topological Prescriptions in CNNs for Medical Image Semantic Segmentation4
Hypergraph p-Laplacians and Scale Spaces4
Corrected Laplace–Beltrami Operators for Digital Surfaces3
Training Morphological Perceptron with Competitive Layer using Convex-Concave Procedure3
Implicit Reconstruction from Point Cloud: An Adaptive Level Set-Based Semi-Lagrangian Method3
Guest Editorial JMIV Special Issue SSVM’213
A Theoretical Analysis of Velocity Estimation from Multiple Independent Optical-Flow Sensors3
Two-view CBCT Reconstruction via Preconditioned Gradient Descent with Plug-and-play Diffusion Anatomical Prior3
A Retinex-Based Selective Segmentation Model for Inhomogeneous Images3
Convexity in ReLU Neural Networks: Beyond ICNNs?3
MG-SpaIR: Multi-Grade Sparse-Guided Implicit Representation for Training-Data-Free Image Restoration3
Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix3
Non-Gaussian Noise Removal via Gaussian Denoisers with the Gray Level Indicator3
Anisotropic Variational Models for Image Denoising Based on Directional Hessian3
U-Flow: A U-Shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold3
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration2
A Bilevel Sensitivity-Corrected Reconstruction Framework with Deep Priors for Parallel MRI2
Discrete Approximations of Gaussian Smoothing and Gaussian Derivatives2
Segmenting Objects with Imbalanced Sizes via Smooth and Sparse Dual Optimal Transport2
A Unified Framework for Multimodal Joint Segmentation and Registration Combining Finite Distortion Theory and Implicit Neural Networks2
Sparse Empirical Bayes with L-Smooth Hyperpriors2
Enhancing Dynamic CT Image Reconstruction with Neural Fields and Optical Flow2
Vectorial Fractional-Order Regularizer-Based Diffeomorphic Image Registration Model and its Numerical Algorithm2
Mathematical Properties of Pyramid-Transform-Based Resolution Conversion and Its Applications2
Unified Theory for Joint Covariance Properties Under Geometric Image Transformations for Spatio-Temporal Receptive Fields According to the Generalized Gaussian Derivative Model for Visual Receptive Fi2
Assessing Hierarchies by Their Consistent Segmentations2
Dyadic Partition-Based Training Schemes for TV/TGV Denoising2
Filtering-Based Preconditioner for Accelerated High-Dimensional Cone-Beam CT Image Reconstruction2
Inferring the Geometry of Convex Shapes from Their Gauss Digitization2
Recognition of Pieces of Arithmetic Hyperplanes Using the Stern–Brocot Tree2
Local Binary Patterns of Segments of a Binary Object for Shape Analysis2
PDE-CNNs: Axiomatic Derivations and Applications2
Morphological Hierarchies: A Unifying Framework with New Trees2
Concentric Ellipse Fitting with Bias Correction and Specialized Geometric-Based Clustering Approach2
Cartoon–Texture Image Decomposition Using Least Squares and Low-Rank Regularization2
Correction: Sufficient Conditions for Topology-Preserving Parallel Reductions on the Face-Centered Cubic Grid2
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning2
Assessing the Role of Datasets in the Generalization of Motion Deblurring Methods to Real Images2
Stochastic Primal–Dual Hybrid Gradient Algorithm with Adaptive Step Sizes2
Cell Counting with Trainable h-Maxima and Connected Component Layers2
CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences2
A New Insight into the Epipole from Four Point Correspondences in Two Calibrated Views2
Fuzzy Circularity: A New Fuzzy Shape-Based Descriptor of the Object2
Mixing Support Detection-Based Alternating Direction Method of Multipliers for Sparse Hyperspectral Image Unmixing2
Learning to Generate Wasserstein Barycenters2
ATG-CHFMs: Accurate Ternary Generalized Chebyshev–Fourier Moments for Stereo Image Zero-Watermarking1
A New Prediction–Correction Primal–Dual Hybrid Gradient Algorithm for Solving Convex Minimization Problems with Linear Constraints1
Geometry Parameter Estimation for Sparse X-Ray Log Imaging1
Neural Field Equations with Time-Periodic External Inputs and Some Applications to Visual Processing1
Image Denoising with a Regularization by Weighted Variable-Order Riesz Fractional Derivatives1
Variational Image Segmentation via Additive Decomposition and Hybrid Regularization with an Energy-Decaying Scheme1
An Active Contour Model for Silhouette Vectorization using Bézier Curves1
Dynamic-Clustering Extreme Intensity Prior Based Blind Image Deblurring1
Discrete Morse Functions and Watersheds1
Generalized Inversion of Nonlinear Operators1
A Multi-spectral Geometric Approach for Shape Analysis1
A Stochastic-Geometrical Framework for Object Pose Estimation Based on Mixture Models Avoiding the Correspondence Problem1
Classification of Deformable Smooth Shapes Through Geodesic Flows of Diffeomorphisms1
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data1
On a Variational Problem with a Nonstandard Growth Functional and Its Applications to Image Processing1
On the Singular Points Approached by the Medial Axis1
Regularised Diffusion–Shock Inpainting1
Skeleton Sparsification and Densification Scale-Spaces1
Computation of 2D Continuous Geometric Moments Through Inclusion–Exclusion1
Product-of-Gaussian-mixture diffusion models for joint nonlinear MRI reconstruction1
Intrinsic Estimation of Frenet Curvatures for 3D Trajectory Analysis1
Sampling Kantorovich Operators for Speckle Noise Reduction and Gap Filling with Some Applications to Remote Sensing1
On Maximum a Posteriori Estimation with Plug & Play Priors and Stochastic Gradient Descent1
Morphology on Categorical Distributions1
Learning Linearized Assignment Flows for Image Labeling1
Tumor Propagation Modeling Using Physics-Informed Neural Networks and Variational Methods for MRI Image Segmentation1
On the Fuzzy Convolution Operator in Image Processing in the Context of Studying Spectral Properties for Fuzzy Bounded Operators1
Mathematical Morphology on Directional Data1
General Deformations of Point Configurations Viewed By a Pinhole Model Camera1
Fast Augmented Lagrangian Primal Dual Algorithm for Mean Curvature Regularization Model1
Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs1
Color Image Set Recognition Based on Quaternionic Grassmannians1
Inferring Object Boundaries and Their Roughness with Uncertainty Quantification1
A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery1
Enhanced Image Super-Resolution via a Coupled Fractional Caputo Derivative and Adaptive p(x)-Laplacian Model1
Randomized Primal-Dual Algorithm with Arbitrary Sampling: Convergence Theory and Applications to Parallel MRI1
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