Search Results - "Computing methodologies for image processing"

CONTINUOUS-TIME IMAGE RECONSTRUCTION SYSTEM WITH PRECONDITIONING MATRIX: Continuous-time image reconstruction system with preconditioning matrix

Authors: Tanji, Yuichi Fujimoto, Ken'ichi

Source: Far East Journal of Dynamical Systems. 38:271-285

Subject Terms: Convex programming, Medical applications (general), filter back projection (FBP) method, preconditioning matrix, Simulation of dynamical systems, computed tomography (CT), Computing methodologies for image processing

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Access URL: https://zbmath.org/8093792
https://doi.org/10.17654/0972111825012

A novel image gravity transform based on least significant bit in image steganography

Authors: Mehdi Nikpour Mohammad Taghi Kheirabadi Ali Nodehi

Source: Mathematics and Computers in Simulation. 234:396-418

Subject Terms: LSB algorithm, Quantum cryptography (quantum-theoretic aspects), feature extraction, Image processing (compression, reconstruction, etc.) in information and communication theory, steganography, Computing methodologies for image processing, image gravity transform

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Access URL: https://zbmath.org/8068185
https://doi.org/10.1016/j.matcom.2025.03.010

Functional Tensor Singular Value Decomposition: Functional tensor singular value decomposition

Authors: Chuan Wang Xi-Le Zhao Yu-Bang Zheng et al.

Source: SIAM Journal on Scientific Computing. 47:A2180-A2204

Subject Terms: Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, matrix-valued function representation, image recovery, multidimensional data

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Access URL: https://zbmath.org/8077920
https://doi.org/10.1137/24m1644687

Local MALA-within-Gibbs for Bayesian Image Deblurring with Total Variation Prior: Local MALA-within-Gibbs for Bayesian image deblurring with total variation prior

Authors: Rafael Flock Shuigen Liu Yiqiu Dong et al.

Source: SIAM Journal on Scientific Computing. 47:A2127-A2153

Subject Terms: MALA-within-Gibbs (MLwG), Bayesian inference, Computational methods in Markov chains, FOS: Mathematics, total variation (TV) prior, Metropolis-adjusted Langevin algorithm (MALA), 62F15, 68U10, 60J22, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Computing methodologies for image processing, image deblurring

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Access URL: http://arxiv.org/abs/2409.09810

Adaptive Unsupervised Anomaly Detection in Variable Environment by Online Expectation Maximization: Adaptive unsupervised anomaly detection in variable environment by online expectation maximization

Authors: Aitor Artola Yannis Kolodziej Jean-Michel Morel et al.

Source: SIAM Journal on Imaging Sciences. 18:1601-1631

Subject Terms: mixture model, neural network, Learning and adaptive systems in artificial intelligence, detection, anomaly, stochastic, Computing methodologies for image processing

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The BV Solution for a Nonlocal Diffusion Equation and Its Application on Multiplicative Noise Removal: The BV solution for a nonlocal diffusion equation and its application on multiplicative noise removal

Authors: Yi Ran Zhichang Guo Jingfeng Shao et al.

Source: Mathematical Methods in the Applied Sciences. 48:14367-14384

Subject Terms: multiplicative gamma noise, image denoising, generalized Young measure solution, nonlocal diffusion, Degenerate parabolic equations, Computing methodologies for image processing, BV solution

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HPPP: Halpern-Type Preconditioned Proximal Point Algorithms and Applications to Image Restoration: HPPP: Halpern-type preconditioned proximal point algorithms and applications to image restoration

Authors: Zhang, Shuchang Zhang, Hui Wang, Hongxia

Source: SIAM Journal on Imaging Sciences. 18:1493-1521

Subject Terms: Halpern iteration, FOS: Computer and information sciences, Convex programming, preconditioned proximal point algorithms, regularization by denoising, Computer Vision and Pattern Recognition (cs.CV), Computing methodologies for image processing, plug-and-play prior, image restoration, Optimization and Control (math.OC), Optimization and Control, FOS: Mathematics, Contraction-type mappings, nonexpansive mappings, \(A\)-proper mappings, etc, Applications of operator theory in optimization, convex analysis, mathematical programming, economics, Computer Vision and Pattern Recognition, Image processing (compression, reconstruction, etc.) in information and communication theory, Monotone operators and generalizations

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Access URL: http://arxiv.org/abs/2407.13120
https://zbmath.org/8077073
https://doi.org/10.1137/24m1677368

Proximal ADMM Approach for Image Restoration with Mixed Poisson-Gaussian Noise: Proximal ADMM approach for image restoration with mixed Poisson-Gaussian noise

Authors: Chen, Miao Tang, Yuchao Zhang, Jie et al.

Source: Journal of Computational Mathematics. 43:540-568

Subject Terms: Numerical optimization and variational techniques, total variation, mixed Poisson-Gaussian noise, alternating direction method of multipliers, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, image restoration

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Access URL: https://zbmath.org/7991829
https://doi.org/10.4208/jcm.2212-m2022-0122

$ℓ_1$DecNet+: A New Architecture Framework by $ℓ_1$ Decomposition and Iteration Unfolding for Sparse Feature Segmentation: \(\ell_1\)DecNet+: a new architecture framework by \(\ell_1\) decomposition and iteration unfolding for sparse feature segmentation

Authors: Ren, Yumeng Gao, Yiming Tai, Xue-Cheng et al.

Source: CSIAM Transactions on Applied Mathematics. 6:250-271

Subject Terms: \(\ell_1\) regularization, FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Image and Video Processing, 02 engineering and technology, Computing methodologies for image processing, General topics in artificial intelligence, \(\ell_1\) decomposition, 03 medical and health sciences, 0302 clinical medicine, sparse feature extraction, Optimization and Control (math.OC), sparse feature segmentation, Optimization and Control, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, deep unfolding, Computer Vision and Pattern Recognition, Image processing (compression, reconstruction, etc.) in information and communication theory, ADMM, variational model

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Access URL: http://arxiv.org/abs/2203.02690

Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis: Semi-unbalanced optimal transport for reference-based image restoration and synthesis

Authors: Simon Mignon Bruno Galerne Moncef Hidane et al.

Source: SIAM Journal on Imaging Sciences. 18:1372-1416

Subject Terms: Optimal transportation, optimal transport, Computing methodologies for image processing, image synthesis, image restoration, image processing

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Access URL: https://zbmath.org/8062966
https://doi.org/10.1137/24m1647540

Joint Structure-Texture Low-Dimensional Modeling for Image Decomposition with a Plug-and-Play Framework: Joint structure-texture low-dimensional modeling for image decomposition with a plug-and-play framework

Authors: Antoine Guennec Jean-François Aujol Yann Traonmilin

Source: SIAM Journal on Imaging Sciences. 18:1344-1371

Subject Terms: image decomposition, Image analysis in multivariate analysis, low-dimensional models, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, Nonconvex programming, global optimization, regularization learning, plug-and-play prior

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On Phase Unwrapping via Digital Wavefront Sensors: On phase unwrapping via digital wavefront sensors

Authors: Simon Hubmer Victoria Laidlaw Ronny Ramlau et al.

Source: SIAM Journal on Imaging Sciences. 18:1260-1283

Subject Terms: 101028 Mathematical modelling, digital wavefront sensors, mathematical imaging, FOS: Mathematics, 101028 Mathematische Modellierung, phase unwrapping, Numerical solution to inverse problems in abstract spaces, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Computing methodologies for image processing, Physical optics

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Access URL: http://arxiv.org/abs/2405.15419
https://zbmath.org/8062962
https://doi.org/10.1137/24m1680994

Additive-Bias-Correction Variational Model for Noisy and Intensity-Inhomogeneous Image Segmentation: Additive-bias-correction variational model for noisy and intensity-inhomogeneous image segmentation

Authors: Po-Wen Hsieh Chung-Lin Tseng Suh-Yuh Yang

Source: SIAM Journal on Imaging Sciences. 18:1235-1259

Subject Terms: Numerical optimization and variational techniques, unconditional energy stability, additive bias correction, iterative convolution-thresholding method, variational image segmentation, intensity inhomogeneity, noise removal, Computing methodologies for image processing

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Access URL: https://zbmath.org/8062961
https://doi.org/10.1137/24m1676612

Computerized Tomography and Reproducing Kernels: Computerized tomography and reproducing kernels

Authors: Ho Yun Victor M. Panaretos

Source: SIAM Review. 67:321-350

Subject Terms: FOS: Computer and information sciences, Biomedical imaging and signal processing, Mathematics - Statistics Theory, Machine Learning (stat.ML), Statistics Theory (math.ST), Computing methodologies for image processing, Functional Analysis (math.FA), Mathematics - Functional Analysis, Statistics - Machine Learning, 44A12 (Primary), 46E22 (Secondary), Numerical aspects of computer graphics, image analysis, and computational geometry, FOS: Mathematics, Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces), reproducing kernel Hilbert space, X-ray transform, Radon transform

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Access URL: http://arxiv.org/abs/2311.07465

Stochastic Super-resolution for Gaussian Microtextures: Stochastic super-resolution for Gaussian microtextures

Authors: Pierret, Émile Galerne, Bruno Pierret, Emile

Contributors: Pierret, Émile Galerne, Bruno Pierret, Emile

Source: SIAM Journal on Imaging Sciences. 18:1176-1207

Subject Terms: Stochastic super-resolution, stochastic super-resolution, Image and Video Processing (eess.IV), Gaussian textures, Random fields, image analysis, [MATH] Mathematics [math], Conditional simulation, Electrical Engineering and Systems Science - Image and Video Processing, Computing methodologies for image processing, Kriging, Super-resolution with a reference image, conditional simulation, super-resolution with a reference image, FOS: Electrical engineering, electronic engineering, information engineering, kriging

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Access URL: http://arxiv.org/abs/2405.15399

NeurTV: Total Variation on the Neural Domain: NeurTV: total variation on the neural domain

Authors: Yisi Luo Xile Zhao Kai Ye et al.

Source: SIAM Journal on Imaging Sciences. 18:1101-1140

Subject Terms: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), 94A08, 68U10, 68T45, Learning and adaptive systems in artificial intelligence, deep neural network, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, Computing methodologies for image processing, Machine vision and scene understanding, total variation, continuous representation, FOS: Electrical engineering, electronic engineering, information engineering, Image processing (compression, reconstruction, etc.) in information and communication theory

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Access URL: http://arxiv.org/abs/2405.17241

Multilevel Data Representation for Training Deep Helmholtz Machines: Multilevel data representation for training deep Helmholtz machines

Authors: Ramos, Jose Miguel Sa-Couto, Luis Wichert, Andreas

Source: Neural Computation. 37:1010-1033

Subject Terms: Computing methodologies for image processing, Neural networks for/in biological studies, artificial life and related topics, Artificial neural networks and deep learning

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Access URL: https://pubmed.ncbi.nlm.nih.gov/40112141
https://zbmath.org/8043668
https://doi.org/10.1162/neco_a_01748

Optimal Transport on the Lie Group of Roto-translations: Optimal transport on the Lie group of roto-translations

Authors: Daan Bon Gautam Pai Gijs Bellaard et al.

Source: SIAM Journal on Imaging Sciences. 18:789-821

Subject Terms: Mathematics - Differential Geometry, FOS: Computer and information sciences, Optimal transportation, Lie groups, Wasserstein barycenters, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, roto-translations, Computing methodologies for image processing, Machine vision and scene understanding, 62H35, 68U10, 90B06, 68T45, 68U99, optimal transport, group convolutions, Differential Geometry (math.DG), Optimization and Control (math.OC), Applications of Lie groups to the sciences, explicit representations, FOS: Mathematics, Mathematics - Optimization and Control

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Access URL: http://arxiv.org/abs/2402.15322
https://zbmath.org/8038390
https://doi.org/10.1137/24m1641531

Subdivision-based homotopy equivalence of digital circles

Authors: Samia Ashraf Madiha Akram Amna Amanat Ali et al.

Contributors: Samia Ashraf Madiha Akram Amna Amanat Ali et al.

Source: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Universitat Politècnica de València (UPV)
Applied General Topology, Vol 26, Iss 1, Pp 431-445 (2025)

Subject Terms: Fundamental group, presentations, free differential calculus, digital circle, QA299.6-433, Applications of general topology to computer science (e.g., digital topology, image processing), Fuzzy topology, digital fundamental group, Digital circle, Computational aspects of digital topology, Computing methodologies for image processing, Machine vision and scene understanding, subdivision-based homotopy equivalence, subdivision, QA1-939, Mathematics, Analysis

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Access URL: https://riunet.upv.es/handle/10251/221843
https://zbmath.org/8068230
https://doi.org/10.4995/agt.2025.22288
https://doaj.org/article/7910c6e262294486a3f7e446fa9c18a5

Image Enhancement and Restoration Approach Based on Anisotropic Diffusion: Image enhancement and restoration approach based on anisotropic diffusion

Authors: Gatcha, Messaouda Messelmi, Farid Saadi, Slami

Source: Iranian Journal of Mathematical Sciences and Informatics. 20:53-67

Subject Terms: regularization, Discrete mathematics in relation to computer science, anisotropic diffusion, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, image restoration, noise filters

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