Search Results - "Computing methodologies for image processing"

Improvement of Yolov8 Object Detection Based on Lightweight Neck Model for Complex Images: Improvement of YOLOv8 object detection based on lightweight neck model for complex images

Authors: Tien-Wen Sung Jie Li Chao-Yang Lee et al.

Source: Image Analysis and Stereology, Vol 44, Iss 1 (2025)

Subject Terms: Medicine (General), neck networks, Lightweight, target detection, Pattern recognition, speech recognition, Neck Networks, Computing methodologies for image processing, Target Detection, R5-920, Attention Mechanism, QA1-939, Image processing (compression, reconstruction, etc.) in information and communication theory, attention mechanism, lightweight, Mathematics

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Access URL: https://doaj.org/article/8df660bc341b46b78b5c6bc5d9e1f191

Medical Image Registration Using Optimal Control of a Linear Hyperbolic Transport Equation with a DG Discretization: Medical image registration using optimal control of a linear hyperbolic transport equation with a DG discretization

Authors: Bastian Zapf Johannes Haubner Lukas Baumgärtner et al.

Source: SIAM Journal on Scientific Computing. 47:B253-B279

Subject Terms: Numerical optimization and variational techniques, Numerical Analysis (math.NA), Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Computing methodologies for image processing, image registration, image transport, meshing, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Numerical Analysis, hyperbolic PDEs, 35D30, 35L02, 35Q49, 35Q93, 35R30, 49M05, 49M41, 49N45, 65D18, 65K10, 65M32, 65M50, 68T99, optimization, Mathematics - Optimization and Control, discontinuous Galerkin

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Access URL: http://arxiv.org/abs/2305.03020
https://zbmath.org/8005983
https://doi.org/10.1137/23m1570727

Student's t prior regularization and its application for image restoration

Authors: Tang, Cong Tang, Liming Fang, Zhuang

Source: Inverse Problems and Imaging. 19:764-794

Subject Terms: Variational methods applied to PDEs, Methods involving semicontinuity and convergence, relaxation, variational regularization, Optimality conditions for problems involving partial differential equations, Image processing (compression, reconstruction, etc.) in information and communication theory, Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs, Computing methodologies for image processing, image restoration, Student's \(t\) distribution, alternating direction method of multipliers (ADMM), majorization-minimization (MM)

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Access URL: https://zbmath.org/8019224
https://doi.org/10.3934/ipi.2024053

Intrinsic Interleaving Distance for Merge Trees: Intrinsic interleaving distance for merge trees

Authors: Ellen Gasparovic Elizabeth Munch Steve Oudot et al.

Contributors: Ellen Gasparovic Elizabeth Munch Steve Oudot et al.

Source: La Matematica. 4:40-65

Subject Terms: Computational Geometry (cs.CG), FOS: Computer and information sciences, Graph operations (line graphs, products, etc.), 02 engineering and technology, [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], Computing methodologies for image processing, topological data analysis, [INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG], merge tree, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Science - Computational Geometry, Algebraic Topology (math.AT), Mathematics - Algebraic Topology, interleaving distance

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Access URL: http://arxiv.org/abs/1908.00063
https://zbmath.org/8015203
https://doi.org/10.1007/s44007-024-00143-9

Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation: Regularized CNN with geodesic active contour and edge predictor for image segmentation

Authors: Jin, Zhengmeng Wang, Hao Ng, Michael K. et al.

Source: SIAM Journal on Imaging Sciences. 17:2392-2417

Subject Terms: regularized CNN, iterative convolution soft thresholding module, edge predictor, Computing methodologies for image processing, image segmentation, geodesic active contour, Artificial neural networks and deep learning

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Access URL: https://zbmath.org/7984607
https://doi.org/10.1137/24m1633868

Double-Well Net for Image Segmentation: Double-well net for image segmentation

Authors: Hao Liu Jun Liu Raymond H. Chan et al.

Source: Multiscale Modeling & Simulation. 22:1449-1477

Subject Terms: FOS: Computer and information sciences, double-well potential, Computer Vision and Pattern Recognition (cs.CV), deep neural network, Computer Science - Computer Vision and Pattern Recognition, MBO scheme, 02 engineering and technology, Computing methodologies for image processing, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, Potts model, 0101 mathematics, image segmentation, operator splitting, 68U10, 94A08, Artificial neural networks and deep learning

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Access URL: http://arxiv.org/abs/2401.00456

Classification of Deformable Smooth Shapes Through Geodesic Flows of Diffeomorphisms: Classification of deformable smooth shapes through geodesic flows of diffeomorphisms

Authors: Dabirian, Hossein Sultamuratov, Radmir Herring, James et al.

Source: Journal of Mathematical Imaging and Vision. 66:1033-1059

Subject Terms: random forests, diffeomorphic shape matching, Differentiable maps on manifolds, Classification and discrimination, cluster analysis (statistical aspects), classification of deformable smooth shapes, Computing methodologies for image processing, data augmentation

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Access URL: https://zbmath.org/8014390
https://doi.org/10.1007/s10851-024-01211-z

Prediction Techniques for Dynamic Imaging with Online Primal–Dual Methods: Prediction techniques for dynamic imaging with online primal-dual methods

Authors: Jauhiainen Jyrki Henrik Dizon Neil D. Valkonen Tuomo

Source: Journal of Mathematical Imaging and Vision. 66:1109-1134

Subject Terms: FOS: Computer and information sciences, Convex programming, primal-dual, Optimization and Control (math.OC), Computer Vision and Pattern Recognition (cs.CV), dynamic imaging, Computer Science - Computer Vision and Pattern Recognition, FOS: Mathematics, Computing methodologies for image processing, optimization, Mathematics - Optimization and Control, online

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Access URL: http://arxiv.org/abs/2405.02497
https://zbmath.org/8014393
https://doi.org/10.1007/s10851-024-01214-w

An Edge-Preserving Regularization Model for the Demosaicing of Noisy Color Images: An edge-preserving regularization model for the demosaicing of noisy color images

Authors: Boccuto, A. Gerace, I. Giorgetti, V. et al.

Source: Journal of Mathematical Imaging and Vision. 66:904-925

Subject Terms: non-convex minimization, color image interpolation, color filter array, edge-preserving regularization, Nonlinear programming, Color image interpolation · Demosaicing · Color filter array · Edge-preserving regularization · Non-convex minimization · Color image denoising, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Color image interpolation, Demosaicing, Color filter array, Edge-preserving regularization, Non-convex Minimization, Color image denoising, demosaicing, 02 engineering and technology, Computing methodologies for image processing, color image denoising

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Access URL: https://zbmath.org/8014384
https://doi.org/10.1007/s10851-024-01204-y
https://link.springer.com/article/10.1007/s10851-024-01204-y
https://doi.org/10.1007/s10851-024-01204-y
https://hdl.handle.net/20.500.14243/508322
https://link.springer.com/article/10.1007/s10851-024-01204-y#citeas
https://doi.org/10.1007/s10851-024-01204-y
https://hdl.handle.net/11391/1588158

Fast normalized cross-correlation for template matching with rotations

Authors: José María Almira Harold Phelippeau Antonio Martinez-Sanchez

Source: Journal of Applied Mathematics and Computing. 70:4937-4969

Subject Terms: 0301 basic medicine, FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 68U10, cryo-electron microscopy, tomography, 01 natural sciences, 03 medical and health sciences, tensors, General Mathematics (math.GM), Multilinear algebra, tensor calculus, FOS: Mathematics, convolution, 3D images, 0101 mathematics, Mathematics - General Mathematics, template matching, I.5.2, I.4.7, I.4.8, cross-correlation, Computing methodologies for image processing, rotations and quaternions, hyperspherical harmonics

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Access URL: http://arxiv.org/abs/2311.07561
https://zbmath.org/8035088
https://doi.org/10.1007/s12190-024-02157-6

Concentric Ellipse Fitting with Bias Correction and Specialized Geometric-Based Clustering Approach: Concentric ellipse fitting with bias correction and specialized geometric-based clustering approach

Authors: Al-Sharadqah, Ali Piga, Giuliano

Source: Journal of Mathematical Imaging and Vision. 66:718-740

Subject Terms: constrained Cramér Rao lower bound, Measures of information, entropy, Classification and discrimination, cluster analysis (statistical aspects), iterative methods, Computing methodologies for image processing, clustering method, bias correction, concentric ellipses, error analysis

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Access URL: https://zbmath.org/8014377
https://doi.org/10.1007/s10851-024-01197-8

Immunity-Based Orthogonal Weights Modification Algorithm: Immunity-based orthogonal weights modification algorithm

Authors: Xiaotao Liang Shuo Yin Xing Zhao et al.

Source: Communications on Applied Mathematics and Computation. 7:718-732

Subject Terms: neural network, continual learning (CL), computed tomography (CT), Computing methodologies for image processing, Artificial neural networks and deep learning, image processing

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Access URL: https://zbmath.org/8034296
https://doi.org/10.1007/s42967-024-00377-y

Hypergraph p-Laplacians and Scale Spaces: Hypergraph \(p\)-Laplacians and scale spaces

Authors: Fazeny, Ariane Tenbrinck, Daniel Lukin, Kseniaa et al.

Source: Journal of mathematical imaging and vision 66(4), 529-549 (2024). doi:10.1007/s10851-024-01183-0 special issue: "Special Issue SSVM 2023"

Subject Terms: diffusion models, Social and Information Networks (cs.SI), FOS: Computer and information sciences, information flow, PDEs on (hyper)graphs, segmentation, hypergraph spectral clustering, Computer Science - Social and Information Networks, PDEs on graphs and networks (ramified or polygonal spaces), Computing methodologies for image processing, Hypergraphs, image processing, Random walks on graphs, hypergraphs, 05C65, 35R02, 91D30, 94A08 (Primary) 34L05, 35J05, 47B02, 91C20 (Secondary), denoising, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO)

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Access URL: http://arxiv.org/abs/2309.15419
https://zbmath.org/8014367
https://doi.org/10.1007/s10851-024-01183-0
https://bib-pubdb1.desy.de/record/597028
https://bib-pubdb1.desy.de/record/596985

A sharpening median filter for Cauchy noise with wavelet based regularization

Authors: Ai, Xiao Ni, Guoxi Zeng, Tieyong

Source: Journal of Computational and Applied Mathematics. 467:116625

Subject Terms: Signal theory (characterization, reconstruction, filtering, etc.), median filtering, Convex programming, alternating direction method of multiplier, wavelet frame, Cauchy noise, Nontrigonometric harmonic analysis involving wavelets and other special systems, General harmonic expansions, frames, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, sharpening operator

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Abstract homogeneity on partially ordered Sets: Abstract homogeneity on partially ordered sets

Authors: Ana Shirley Monteiro Regivan Santiago Martin Papčo et al.

Source: Computational and Applied Mathematics. 44

Subject Terms: edge detection, Partial orders, general, abstract homogeneity, partially ordered sets, Computing methodologies for image processing, monotonicity, Fuzzy logic, logic of vagueness

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Efficient SAV-Based Algorithms for Image Multiplicative Denoising with a Second Fundamental Form Regularizer: Efficient SAV-based algorithms for image multiplicative denoising with a second fundamental form regularizer

Authors: Ziqing Ma Chang Yang Shengzhu Shi et al.

Source: Journal of Scientific Computing. 103

Subject Terms: Signal theory (characterization, reconstruction, filtering, etc.), multiplicative noise removal, second fundamental form, Missing data, unconditionally energy stable, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, variational model, scalar auxiliary variable

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Robust and feature-preserving point denoising via adaptive scale selection mechanism

Authors: Li, Nannan Ma, Zhe Li, Chengfei et al.

Source: Communications in Information and Systems. 24:379-413

Subject Terms: denoising computations, data-driven adaptive selection of features, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing

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Access URL: https://zbmath.org/7974142
https://doi.org/10.4310/cis.241221022343

Cartoon–Texture Image Decomposition Using Least Squares and Low-Rank Regularization: Cartoon-texture image decomposition using least squares and low-rank regularization

Authors: Li, Kexin Wen, You-wei Chan, Raymond H.

Source: Journal of Mathematical Imaging and Vision. 67

Subject Terms: Numerical optimization and variational techniques, image decomposition, Mathematical programming, weighted least squares, low-rank regularization, edge-preserving, Computing methodologies for image processing, ADMM

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Access URL: https://zbmath.org/8014398
https://doi.org/10.1007/s10851-024-01216-8

Data‐driven methods for quantitative imaging: Data-driven methods for quantitative imaging

Authors: Guozhi Dong Moritz Flaschel Michael Hintermüller et al.

Source: GAMM-Mitteilungen. 48

Subject Terms: Convex programming, Learning and adaptive systems in artificial intelligence, Nonsmooth analysis, variational methods, quantitative image reconstruction, 02 engineering and technology, quantitative MRI, 90C46, 03 medical and health sciences, 0302 clinical medicine, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, 62G05, 49M41, learning--informed physics, Mathematics - Optimization and Control, 49K20, Biomedical imaging and signal processing, Quantitative MRI, Computing methodologies for image processing, neural networks, regularization, 68T07, learning-informed physics, machine learning, 35R30, Optimization and Control (math.OC), 62P10, Image processing (compression, reconstruction, etc.) in information and communication theory, 49J52, 62G99

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Access URL: http://arxiv.org/abs/2404.07886
https://zbmath.org/8032178
https://doi.org/10.1002/gamm.202470014

The Optimal Weights of Non-local Means for Variance Stabilized Noise Removal: The optimal weights of non-local means for variance stabilized noise removal

Authors: Yu Guo Caiying Wu Yuan Zhao et al.

Source: Journal of Scientific Computing. 101

Subject Terms: non-local means, image patches, image denoising, Image analysis in multivariate analysis, Computing methodologies for image processing, optimization, oracle filter

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