Linear inverse problems in imaging
Cited by (156)
Items 101–156 of 156
- Fast sampling for linear inverse problems of vectors and tensors using multilinear extensionsHao Li, Liang Feng Dong, Zixi Zhou, Zheng Xie · 2025 · Signal Processing
- Image Spectrometers, Color High Fidelity, and Fine-Art PaintingsAlejandro Ribés · 2012 · Springer eBooks
- Spatial Filtering of Magnetoencephalographic Data in Spherical Harmonics DomainTolga Esat Özkurt · 2009 · D-Scholarship@Pitt (University of Pittsburgh)
- Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation.Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni · 2021 · arXiv (Cornell University)
- Boundary-condition-enhanced linear sampling method imaging based on genetic algorithmKunpeng Liu, Baozhu Li, Licheng Yang, Shuai Wei, Wei Dong Hu · 2023 · IEEE Asia-Pacific Conference on Antennas and Propagation
- Parallel Trajectory Constraint Sampling for Solving Universal Medical Inverse ProblemsLihong Qiao, Jinbo Li, Rongxuan Wang, Yucheng Shu, Weisheng Li, Zhanchuan Cai, Xinbo Gao · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
- Swift hash-convolutional neural representation for differentiable computational imagingShuhe Zhang, Liangcai Cao · 2026 · Journal of Physics Photonics
- Test-time reconstruction with physics-integrated dual cooperative learning for unsupervised model adaptationBinchun Lu, Lidan Fu, Juntao Ren, Yixuan Pan, Yonggui Dong · 2025 · Expert Systems with Applications
- Self-calibrating Coil Sensitivity Profiles for Parallel Imaging Based on Anisotropic DiffusionXiaofang Liu, Xiuzi Ye, Sanyuan Zhang, Feng Liu · 2010 · Journal of Multimedia
- Texture classification in different illumination conditions via testing the covariance matrices and mean vectorsMohammad Hassan Shariat, Mohammad Neinavaie, Mostafa Derakhtian, Saeed Gazor · 2011 · International Workshop on Systems, Signal Processing and their Applications
- Improved MODIS aerosol retrieval in urban areas using a land classification approach and empirical orthogonal functionsNathaniel Levitan, Barry M. Gross · 2016 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Learning a Convex Patch-Based Synthesis Model via Deep EquilibriumStanislas Ducotterd, Sebastian Neumayer, Michael A. Unser · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
- Lipschitz-Constrained Convolutional Layers Using Convex ProjectionBhartendu Kumar, Kunal N. Chaudhury · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
- Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play PriorsKartheek Kumar Reddy Nareddy, Abijith Jagannath Kamath, Chandra Sekhar Seelamantula · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
- Variational Analysis of Adversarial Regularization for Solving Inverse ProblemsAbhishek Shreekant Bhandiwad, Abijith Jagannath Kamath, Siddarth Asokan, Chandra Sekhar Seelamantula · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
- Method of Alternating Proximations for Solving Linear Inverse ProblemsAbijith Jagannath Kamath, Nareddy Kartheek Kumar Reddy, Chandra Sekhar Seelamantula · 2024 · International Conference on Signal Processing and Communications (SPCOM)
- Solving Linear Inverse Problems via Criterion of Minimum ExtentС. М. Вовк, Valentine F. Borulko · 2024 · Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory
- Reconstructing dislocation slip evolution by assimilation of elastodynamic displacement signaturesJunjie Yang, Daniel J. Magagnosc, Jaafar A. El‐Awady, Tamer A. Zaki · 2024 · Acta Materialia
- Hybrid image restoration using SWT based denoising and regularization in frequency domainSanjay Kumar Maurya, Ravindra Kumar Singh, Arun Kumar Misra · 2012 · International Conference on Power, Control and Embedded Systems
- A Bayesian approach to wavelet-based modelling of discontinuous functions applied to inverse problemsRobert G. Aykroyd, Hassan M. Aljohani · 2018 · Communications in Statistics - Simulation and Computation
- On elliptic partial differential equations in bioimpedanceAriungerel Jargal, Jin Keun Seo, Hyeuknam Kwon · 2020 · Journal of Elliptic and Parabolic Equations
- An Iterative Method for Parallel MRI SENSE-based Reconstruction in the Wavelet DomainLotfi Chaâri, J.-C. Pesquet, Philippe Ciuciu, Amel Benazza‐Benyahia · 2009 · arXiv (Cornell University)
- Retinal Processing: From Biology to Models and ApplicationsDavid Alleysson, Nathalie Guyader · 2015 · Wiley eBooks
- New algorithms for solving inverse source problems in imaging techniques with applications in fluorescence tomographyKe Yin · 2013 · SMARTech Repository (Georgia Institute of Technology)
- Learning Generative Prior with Latent Space Sparsity ConstraintsVinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula · 2021 · arXiv (Cornell University)
- Dictionary and prior learning with unrolled algorithms for unsupervised inverse problemsBenoît Malézieux, Thomas Moreau, Matthieu Kowalski · 2021 · HAL
- MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial DefenseRushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Peer‐Timo Bremer · 2018 · arXiv (Cornell University)
- Parallel magnetic resonance imaging reconstruction problems using wavelet representationsLotfi Chaâri · 2010 · theses.fr (ABES)
- Non-parametric evaluation of stress fields for history-dependent materials : Formulation, Validation and AppicationsRaphaël Langlois · 2023
- Anisotropy regularization-based restoration of imaging process in line-scanning spectrometerRan Wei, Ye Zhang, Yushi Chen · 2015 · Journal of Applied Remote Sensing
- Mitigating transmission sidelobes in NIR Liquid Crystal Tuneable Filters using inverse methodsTimothy Roper, Mark Andrews · 2012 · IEEE International Instrumentation and Measurement Technology Conference
- A regularization modification to linear spectral unmixing algorithmYe Zhang, Ran Wei, Hao Chen, Shi Tian Tong, Yan Qi Lao · 2012 · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
- A Method for Estimating the Coil Sensitivity Maps from the Surface Images in Parallel ImagingXiaofang Liu, YiBing Lao, Feng Liu · 2010 · International Conference on Bioinformatics and Biomedical Engineering
- Estimating the Coil Sensitivity Maps from the Surface Images in Parallel ImagingXiaofang Liu, Xiuzi Ye, Feng Liu · 2010 · International Conference on Biomedical Engineering and Computer Science
- Performances of Classic and Weighted Versions of Some Selected Methods in Estimation of Spectral Data from Camera ResponsesAbolfazl Aghanouri, Eslahi Niloofar, Vahid Babaei · 2013
- Adaptive Filters and ObserversJosé M. Girón-Sierra · 2016 · Signals and communication technology
- Effect of spatial distribution of partial information on the accurate recovery of optical wave fieldsFigen S. Öktem, Haldun M. Özaktaş · 2016 · Applied Optics
- On the Computation of Neumann SeriesVassil S. Dimitrov, Diego F. G. Coelho · 2017 · arXiv (Cornell University)
- Deep Learning for Nonlinear Diffractive ImagingYu Sun, Zhihao Xia, Ulugbek S. Kamilov · 2018 · arXiv (Cornell University)
- Reflectance Estimation Based on Locally Weighted Linear Regression MethodsDejun Lu, Weifeng Zhang, Kaixuan Cuan, Pengfei Liu · 2018 · Communications in computer and information science
- Study on spectral reconstruction algorithm based on kernel entropy component analysisShan Sun, Weiping Yang, Xiao-Xiao Zhang, Yang Zhang, Dongdong Gong · 2018 · Advanced Optical Imaging Technologies
- Spectral image recovery from Spectral Filter Array cameras using LMMSEPrakhar Amba, David Alleysson · 2019 · Color and Imaging Conference
- Source Consistency Frequency Difference Electrical Impedance Tomography (sc-fdEIT)Tingting Zhang, Tong In Oh, Eung Je Woo · 2020 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
- Kernel Regularization for Image RestorationV. S. Unni, Kunal N. Chaudhury · 2020 · Proceedings - International Conference on Image Processing
- Research on Optimal Samples Selection Method for Digital Camera-Based Spectral Reflectance EstimationJinxing Liang, Jia Chen, Xinrong Hu · 2021 · Lecture notes in electrical engineering
- BibliographyRoy S. Berns · 2019 · Wiley eBooks
- Optimization Algorithms for MR ReconstructionJiaming Liu, Rakib Hyder, M. Salman Asif, Ulugbek S. Kamilov · 2022 · Advances in magnetic resonance technology and applications
- The appeals of quadratic majorization–minimizationMarc C. Robini, Lihui Wang, Yuemin Zhu · 2024 · Journal of Global Optimization
- Enhancing convergence speed in sparse signal denoising: the APFISTA algorithmJin Wang · 2024 · Optimization
- Designing adaptive deep denoisers for Plug-and-Play FBS with stable iterationsQingliang Guo, Zhonggui Sun · 2025 · Neurocomputing
- Identifying a Piecewise Affine Signal From Its Nonlinear Observation—Application to DNA Replication AnalysisClara Lage, Nelly Pustelnik, Jean‐Michel Arbona, Benjamin Audit, Rémi Gribonval · 2025 · IEEE Transactions on Signal Processing
- On the Design of Weakly-Convex Regularizers for Solving Linear Inverse ProblemsAbijith Jagannath Kamath, Abhishek Shreekant Bhandiwad, Chandra Sekhar Seelamantula · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
- Implementing the Minimum-Extent Criterion for Solving Linear Inverse ProblemsС. М. Вовк, Valentine F. Borulko · 2025 · Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory
- Inter-reflections in computer vision : importance, modeling & application in spectral estimationRada Deeb · 2018
- Where Prior Learning Can and Can’t Work in Unsupervised Inverse ProblemsBenoît Malézieux, Florent Michel, Thomas Moreau, Matthieu Kowalski · 2026 · IEEE Transactions on Signal Processing
- Physics-informed neural networks with relaxed alternating learning for image inpaintingMohamed Nacereddine Toros, Mourad Nachaoui, Amine Laghrib, Mustapha Johri · 2026 · Neural Networks