Suchergebnisse - Computing methodologies for image processing

SLRQA: A Sparse Low-Rank Quaternion Model for Color Image Processing with Convergence Analysis: SLRQA: a sparse low-rank quaternion model for color image processing with convergence analysis

Autoren: Zhanwang Deng Yuqiu Su Wen Huang

Quelle: Journal of Scientific Computing. 105

Schlagwörter: global convergence, nonconvex linearized ADMM, Optimization and Control (math.OC), FOS: Mathematics, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, quaternion matrix completion, Mathematics - Optimization and Control, color image processing

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2408.03563
https://zbmath.org/8091437
https://doi.org/10.1007/s10915-025-03019-4

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

Autoren: Rafael Flock Shuigen Liu Yiqiu Dong et al.

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

Schlagwörter: 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

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2409.09810

Improving shape classification accuracy with Binary Directional Shape descriptors in image processing: Improving shape classification accuracy with binary directional shape descriptors in image processing

Autoren: Bogacki, Piotr Długosz, Michał Długosz, Zofia et al.

Quelle: Journal of Computational and Applied Mathematics. 472:116776

Schlagwörter: computational complexity, real-time systems, Computing methodologies for image processing, shape recognition

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8075534
https://doi.org/10.1016/j.cam.2025.116776

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

Autoren: Mehdi Nikpour Mohammad Taghi Kheirabadi Ali Nodehi

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

Schlagwörter: 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

Dateibeschreibung: application/xml

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

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

Autoren: Tanji, Yuichi Fujimoto, Ken'ichi

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

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

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8093792
https://doi.org/10.17654/0972111825012

A Fisher-type evolution equation with applications in image processing

Autoren: Bogdan Maxim

Quelle: Annals of the University of Craiova Mathematics and Computer Science Series. 51:255-290

Schlagwörter: Semilinear elliptic equations, Neumann Laplacian, weak formulation of PDEs, Asymptotic behavior of solutions to PDEs, asymptotic behaviour, Existence problems for PDEs: global existence, local existence, non-existence, Uniqueness problems for PDEs: global uniqueness, local uniqueness, non-uniqueness, strong maximum principle, Computing methodologies for image processing, 01 natural sciences, Maximum principles in context of PDEs, semilinear elliptic and parabolic problems, PDEs in image processing, Monotone and positive operators on ordered Banach spaces or other ordered topological vector spaces, 0101 mathematics, Dependence of solutions to PDEs on initial and/or boundary data and/or on parameters of PDEs, Weak solutions to PDEs, Semilinear parabolic equations

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8057918
https://doi.org/10.52846/ami.v51i1.1949

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

Autoren: Zhang, Shuchang Zhang, Hui Wang, Hongxia

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

Schlagwörter: 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

Dateibeschreibung: application/xml

Zugangs-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

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

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

Schlagwörter: 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

Dateibeschreibung: application/xml

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

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

Autoren: Gatcha, Messaouda Messelmi, Farid Saadi, Slami

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

Schlagwörter: 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

Dateibeschreibung: application/xml

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

Autoren: Simon Mignon Bruno Galerne Moncef Hidane et al.

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

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

Dateibeschreibung: application/xml

Zugangs-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

Autoren: Antoine Guennec Jean-François Aujol Yann Traonmilin

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

Schlagwörter: 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

Dateibeschreibung: application/xml

Implicit Regularization Effects of the Sobolev Norms in Image Processing: Implicit regularization effects of the Sobolev norms in image processing

Autoren: Bowen Zhu Jingwei Hu Yifei Lou et al.

Quelle: La Matematica. 3:79-107

Schlagwörter: Numerical optimization and variational techniques, \(H^s\) norm, Numerical Analysis (math.NA), Computing methodologies for image processing, 01 natural sciences, image processing, Sobolev (and similar kinds of) spaces of functions on metric spaces, analysis on metric spaces, Inverse problems in optimal control, implicit regularization, FOS: Mathematics, 65K10, 46E36, 68U10, 49N45, 92C55, 49Q22, inverse problem, Mathematics - Numerical Analysis, Image processing (compression, reconstruction, etc.) in information and communication theory, 0101 mathematics, frequency bias

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2109.06255

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

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

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

Schlagwörter: 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

Dateibeschreibung: application/xml

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

On the existence and uniqueness of the weak solution to spatial fractional nonlinear diffusion equation related to image processing

Autoren: Boudrissa, Imane Benhamidouche, Noureddine

Quelle: MATHEMATICA SCANDINAVICA. 131

Schlagwörter: spatial fractional derivatives, Nonlinear parabolic equations, Gaussian filter, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, Fractional partial differential equations

Dateibeschreibung: application/xml

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

Autoren: Bastian Zapf Johannes Haubner Lukas Baumgärtner et al.

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

Schlagwörter: 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

Dateibeschreibung: application/xml

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

Multispectral Image Restoration by Generalized Opponent Transformation Total Variation: Multispectral image restoration by generalized opponent transformation total variation

Autoren: Zhantao Ma Michael K. Ng

Quelle: SIAM Journal on Imaging Sciences. 18:246-279

Schlagwörter: FOS: Computer and information sciences, Numerical optimization and variational techniques, total variation, multispectral image, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), 65F22, 68U10, 35A15, 65K10, 52A41, Computing methodologies for image processing, image restoration, opponent transformation

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2403.12770

A Unified Framework of Nonlocal Parametric Methods for Image Denoising: A unified framework of nonlocal parametric methods for image denoising

Autoren: Herbreteau, Sébastien Kervrann, Charles

Weitere Verfasser: Herbreteau, Sébastien Kervrann, Charles

Quelle: SIAM Journal on Imaging Sciences. 18:89-119

Schlagwörter: FOS: Computer and information sciences, Ridge regression, shrinkage estimators (Lasso), image denoising, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, quadratic programming, Quadratic programming, Computing methodologies for image processing, White noise theory, [STAT] Statistics [stat], Stein's unbiased risk estimate, Parametric inference under constraints, patch-based, Image analysis in multivariate analysis, ridge regression, Image processing (compression, reconstruction, etc.) in information and communication theory

Dateibeschreibung: application/xml; application/pdf

Zugangs-URL: http://arxiv.org/abs/2402.13816
https://inria.hal.science/hal-04472406v1
https://doi.org/10.1137/24m1630967
https://inria.hal.science/hal-04472406v1/document

Rank Minimization-Based Regularization Method for Sparse-View Photoacoustic Image Reconstruction: Rank minimization-based regularization method for sparse-view photoacoustic image reconstruction

Autoren: Shuo Wang Yumei Huang

Quelle: Communications on Applied Mathematics and Computation. 7:1861-1879

Schlagwörter: Kudyka-Łojasiewicz theory, photoacoustic tomography (PAT) reconstruction, rank minimization, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, proximal alternating iterative method

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8095069
https://doi.org/10.1007/s42967-024-00468-w

Hardware Implementation of Machine Learning and Deep-Learning Systems oriented to Image Processing

Autoren: Franco Frasser, Christiam Camilo

Thesis Advisors: Rosselló Sanz, José Luis, Roca Adrover, Miquel Jesús

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Digital Systerns, FPGA, Machine Learníng, Pattern Recognition, Artificial Neural Networks, Stochastic Computing, ConvolutionaI NeuralNetworks, Edge Computing, lmplementació eficient de Machíne Learning en hardware

Time: 621.3

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/674682

Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery: Bilateral tensor low-rank representation for insufficient observed samples in multidimensional image clustering and recovery

Autoren: Meng Ding Xi-Le Zhao Jing-Hua Yang et al.

Quelle: SIAM Journal on Imaging Sciences. 18:20-59

Schlagwörter: Classification and discrimination, cluster analysis (statistical aspects), Pattern recognition, speech recognition, multidimensional image, Image analysis in multivariate analysis, Image processing (compression, reconstruction, etc.) in information and communication theory, Computing methodologies for image processing, exact recovery, bilateral tensor low-rank representation, subspace clustering, data recovery

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/7984609
https://doi.org/10.1137/24m1655093