OOIR: Observatory of International Research

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 2022-05-01 to 2026-05-01.)

Article	Citations
Texture Matching GAN for CT Image Enhancement	38
Enforcing Geometrical Priors in Deep Networks for Semantic Segmentation Applied to Radiotherapy Planning	24
Learning Grayscale Mathematical Morphology with Smooth Morphological Layers	24
An Edge-Preserving Regularization Model for the Demosaicing of Noisy Color Images	21
Multivalued Component Tree: New Results and a Bridge Between Partial and Total Partition Trees	20
Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework	18
Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising	17
A Structured L-BFGS Method with Diagonal Scaling and Its Application to Image Registration	17
Multiscale Hierarchical Decomposition Methods for Images Corrupted by Multiplicative Noise	16
Characterization of hv-Convex Sequences	15
Application of Integral Invariants to Apictorial Jigsaw Puzzle Assembly	14
A Riemannian Covariance for Manifold-Valued Data	14
Enhancing a Kernel Method for Shape Analysis in Kendall Space	14
Novel Arc-Cost Functions and Seed Relevance Estimations for Compact and Accurate Superpixels	13
Connections Between Numerical Algorithms for PDEs and Neural Networks	13
Regularising Inverse Problems with Generative Machine Learning Models	12
Unrestricted Sequential Discrete Morphological Neural Networks	10
Finding Space-Time Boundaries with Deformable Hypersurfaces	10
Plug and Play Splitting Techniques for Poisson Image Restoration	10
Minimizing Mean Curvature of Image Surface via Bilinear Decomposition for Image Reconstruction	10
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models	9
Sigma Flows for Image and Data Labeling and Learning Structured Prediction	8
A $$\varGamma $$-Convergence Result and An Off-the-Grid Charge Algorithm for Curve Reconstruction in Inverse Problems	8
Differential Oriented Image Foresting Transform and Its Applications to Support High-level Priors for Object Segmentation	8
Generalised Watson Distribution on the Hypersphere with Applications to Clustering	8

Scale Generalisation Properties of Extended Scale-Covariant and Scale-Invariant Gaussian Derivative Networks on Image Datasets with Spatial Scaling Variations	7
Wavelets in the Deep Learning Era	7
Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group	7
A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions	6
Linear and Nonlinear Generative Models for ‘Zero-Shot’ Image Denoising in the Limit of Few Photons	6
Introducing Poset-Based Connected n-Manifolds and $$\mathcal {P}$$-well-composedness in Partially Ordered Sets	6
Computing the Minimal Perimeter Polygon for Sets of Rectangular Tiles based on Visibility Cones	6
Consistent Approximation of Interpolating Splines in Image Metamorphosis	6
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping	6
Learning-Based Non-rigid Video Depth Estimation Using Invariants to Generalized Bas-Relief Transformations	5
Statistical Modeling of Deep Features to Reduce False Alarms in Video Change Detection	5
Morse Sequences: A Simple Approach to Discrete Morse Theory	5
Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix	4
U-Flow: A U-Shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold	4
An Adaptively Inexact Method for Bilevel Learning Using Primal–Dual-Style Differentiation	4
Nonlocal Adaptive Biharmonic Regularizer for Image Restoration	4
About the Incorporation of Topological Prescriptions in CNNs for Medical Image Semantic Segmentation	4
Guest Editorial JMIV Special Issue SSVM’21	4
LAMA-Net: A Convergent Network Architecture for Dual-Domain Reconstruction	4
A Non-convex Regularization Fusing Low-rankness and Smoothness for Tensor Recovery	4
Corrected Laplace–Beltrami Operators for Digital Surfaces	4
Non-Gaussian Noise Removal via Gaussian Denoisers with the Gray Level Indicator	4
New Properties for Full Convex Sets and Full Convex Hulls	4
Hypergraph p-Laplacians and Scale Spaces	4
A Retinex-Based Selective Segmentation Model for Inhomogeneous Images	3
Implicit Reconstruction from Point Cloud: An Adaptive Level Set-Based Semi-Lagrangian Method	3
Assessing the Role of Datasets in the Generalization of Motion Deblurring Methods to Real Images	3
Anisotropic Variational Models for Image Denoising Based on Directional Hessian	3
Cell Counting with Trainable h-Maxima and Connected Component Layers	3
Stochastic Primal–Dual Hybrid Gradient Algorithm with Adaptive Step Sizes	3
Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise	3
Convexity in ReLU Neural Networks: Beyond ICNNs?	3
Filtering-Based Preconditioner for Accelerated High-Dimensional Cone-Beam CT Image Reconstruction	3
Recognition of Pieces of Arithmetic Hyperplanes Using the Stern–Brocot Tree	3
Mathematical Properties of Pyramid-Transform-Based Resolution Conversion and Its Applications	2
General Deformations of Point Configurations Viewed By a Pinhole Model Camera	2
Fuzzy Circularity: A New Fuzzy Shape-Based Descriptor of the Object	2
Mixing Support Detection-Based Alternating Direction Method of Multipliers for Sparse Hyperspectral Image Unmixing	2
Morphological Hierarchies: A Unifying Framework with New Trees	2
Vectorial Fractional-Order Regularizer-Based Diffeomorphic Image Registration Model and its Numerical Algorithm	2
A Unified Framework for Multimodal Joint Segmentation and Registration Combining Finite Distortion Theory and Implicit Neural Networks	2
Dyadic Partition-Based Training Schemes for TV/TGV Denoising	2
Correction: Sufficient Conditions for Topology-Preserving Parallel Reductions on the Face-Centered Cubic Grid	2
Assessing Hierarchies by Their Consistent Segmentations	2
Discrete Approximations of Gaussian Smoothing and Gaussian Derivatives	2
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 Fi	2
Learning to Generate Wasserstein Barycenters	2
Towards Off-the-Grid Algorithms for Total Variation Regularized Inverse Problems	2
Concentric Ellipse Fitting with Bias Correction and Specialized Geometric-Based Clustering Approach	2
A New Insight into the Epipole from Four Point Correspondences in Two Calibrated Views	2

CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences	2
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning	2
An Exact Radon Formula for Lambertian Tomography	2
PDE-CNNs: Axiomatic Derivations and Applications	2
Regularised Diffusion–Shock Inpainting	2
Image Denoising with a Regularization by Weighted Variable-Order Riesz Fractional Derivatives	2
Neural Field Equations with Time-Periodic External Inputs and Some Applications to Visual Processing	2
Some Equivalence Relation between Persistent Homology and Morphological Dynamics	2
Local Binary Patterns of Segments of a Binary Object for Shape Analysis	2
Cartoon–Texture Image Decomposition Using Least Squares and Low-Rank Regularization	2
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration	2
Enhancing Dynamic CT Image Reconstruction with Neural Fields and Optical Flow	2
Enhanced Image Super-Resolution via a Coupled Fractional Caputo Derivative and Adaptive p(x)-Laplacian Model	1
A New Prediction–Correction Primal–Dual Hybrid Gradient Algorithm for Solving Convex Minimization Problems with Linear Constraints	1
Generalized Polar Coordinate Moments with Quasi Inner Product	1
Intrinsic Estimation of Frenet Curvatures for 3D Trajectory Analysis	1
A Multi-spectral Geometric Approach for Shape Analysis	1
On Maximum a Posteriori Estimation with Plug & Play Priors and Stochastic Gradient Descent	1
Classification of Deformable Smooth Shapes Through Geodesic Flows of Diffeomorphisms	1
A Stochastic-Geometrical Framework for Object Pose Estimation Based on Mixture Models Avoiding the Correspondence Problem	1
Homotopic Affine Transformations in the 2D Cartesian Grid	1
Geometry Parameter Estimation for Sparse X-Ray Log Imaging	1
On a Variational Problem with a Nonstandard Growth Functional and Its Applications to Image Processing	1
Learning Linearized Assignment Flows for Image Labeling	1
The Chiral Domain of a Camera Arrangement	1
ATG-CHFMs: Accurate Ternary Generalized Chebyshev–Fourier Moments for Stereo Image Zero-Watermarking	1
2D Bijective rigid rotation: quantitative and qualitative study	1
Inferring Object Boundaries and Their Roughness with Uncertainty Quantification	1
Hierarchy-based fuzzy segmentation and marker learning layer: theory and algorithms	1
Dynamic-Clustering Extreme Intensity Prior Based Blind Image Deblurring	1
ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems	1
Morphology on Categorical Distributions	1
State Estimation of Time-Varying MRI with Radial Golden Angle Sampling	1
Mathematical Morphology on Directional Data	1
Amplitude Mean of Functional Data on $$\mathbb {S}^2$$ and its Accurate Computation	1
Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs	1
A Unified Surface Geometric Framework for Feature-Aware Denoising, Hole Filling and Context-Aware Completion	1
Topology- and Perception-Aware Image Vectorization	1
Color Image Set Recognition Based on Quaternionic Grassmannians	1
Discrete Morse Functions and Watersheds	1
A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery	1
An Active Contour Model for Silhouette Vectorization using Bézier Curves	1
Randomized Primal-Dual Algorithm with Arbitrary Sampling: Convergence Theory and Applications to Parallel MRI	1
Generalized Inversion of Nonlinear Operators	1
Tumor Propagation Modeling Using Physics-Informed Neural Networks and Variational Methods for MRI Image Segmentation	1
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data	1
Computation of 2D Continuous Geometric Moments Through Inclusion–Exclusion	1
On the Fuzzy Convolution Operator in Image Processing in the Context of Studying Spectral Properties for Fuzzy Bounded Operators	1
On the Singular Points Approached by the Medial Axis	1