Linear inverse problems in imaging

Ribes, Alejandro, Schmitt, Francis·2008·IEEE Signal Processing Magazine

Cited by (156)

Items 101–156 of 156

  1. Fast sampling for linear inverse problems of vectors and tensors using multilinear extensions
    Hao Li, Liang Feng Dong, Zixi Zhou, Zheng Xie · 2025 · Signal Processing
  2. Image Spectrometers, Color High Fidelity, and Fine-Art Paintings
    Alejandro Ribés · 2012 · Springer eBooks
  3. Spatial Filtering of Magnetoencephalographic Data in Spherical Harmonics Domain
    Tolga Esat Özkurt · 2009 · D-Scholarship@Pitt (University of Pittsburgh)
  4. 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)
  5. Boundary-condition-enhanced linear sampling method imaging based on genetic algorithm
    Kunpeng Liu, Baozhu Li, Licheng Yang, Shuai Wei, Wei Dong Hu · 2023 · IEEE Asia-Pacific Conference on Antennas and Propagation
  6. Parallel Trajectory Constraint Sampling for Solving Universal Medical Inverse Problems
    Lihong Qiao, Jinbo Li, Rongxuan Wang, Yucheng Shu, Weisheng Li, Zhanchuan Cai, Xinbo Gao · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
  7. Swift hash-convolutional neural representation for differentiable computational imaging
    Shuhe Zhang, Liangcai Cao · 2026 · Journal of Physics Photonics
  8. Test-time reconstruction with physics-integrated dual cooperative learning for unsupervised model adaptation
    Binchun Lu, Lidan Fu, Juntao Ren, Yixuan Pan, Yonggui Dong · 2025 · Expert Systems with Applications
  9. Self-calibrating Coil Sensitivity Profiles for Parallel Imaging Based on Anisotropic Diffusion
    Xiaofang Liu, Xiuzi Ye, Sanyuan Zhang, Feng Liu · 2010 · Journal of Multimedia
  10. Texture classification in different illumination conditions via testing the covariance matrices and mean vectors
    Mohammad Hassan Shariat, Mohammad Neinavaie, Mostafa Derakhtian, Saeed Gazor · 2011 · International Workshop on Systems, Signal Processing and their Applications
  11. Improved MODIS aerosol retrieval in urban areas using a land classification approach and empirical orthogonal functions
    Nathaniel Levitan, Barry M. Gross · 2016 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
  12. Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium
    Stanislas Ducotterd, Sebastian Neumayer, Michael A. Unser · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  13. Lipschitz-Constrained Convolutional Layers Using Convex Projection
    Bhartendu Kumar, Kunal N. Chaudhury · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  14. Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors
    Kartheek Kumar Reddy Nareddy, Abijith Jagannath Kamath, Chandra Sekhar Seelamantula · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  15. Variational Analysis of Adversarial Regularization for Solving Inverse Problems
    Abhishek Shreekant Bhandiwad, Abijith Jagannath Kamath, Siddarth Asokan, Chandra Sekhar Seelamantula · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  16. Method of Alternating Proximations for Solving Linear Inverse Problems
    Abijith Jagannath Kamath, Nareddy Kartheek Kumar Reddy, Chandra Sekhar Seelamantula · 2024 · International Conference on Signal Processing and Communications (SPCOM)
  17. Solving Linear Inverse Problems via Criterion of Minimum Extent
    С. М. Вовк, Valentine F. Borulko · 2024 · Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory
  18. Reconstructing dislocation slip evolution by assimilation of elastodynamic displacement signatures
    Junjie Yang, Daniel J. Magagnosc, Jaafar A. El‐Awady, Tamer A. Zaki · 2024 · Acta Materialia
  19. Hybrid image restoration using SWT based denoising and regularization in frequency domain
    Sanjay Kumar Maurya, Ravindra Kumar Singh, Arun Kumar Misra · 2012 · International Conference on Power, Control and Embedded Systems
  20. A Bayesian approach to wavelet-based modelling of discontinuous functions applied to inverse problems
    Robert G. Aykroyd, Hassan M. Aljohani · 2018 · Communications in Statistics - Simulation and Computation
  21. On elliptic partial differential equations in bioimpedance
    Ariungerel Jargal, Jin Keun Seo, Hyeuknam Kwon · 2020 · Journal of Elliptic and Parabolic Equations
  22. An Iterative Method for Parallel MRI SENSE-based Reconstruction in the Wavelet Domain
    Lotfi Chaâri, J.-C. Pesquet, Philippe Ciuciu, Amel Benazza‐Benyahia · 2009 · arXiv (Cornell University)
  23. Retinal Processing: From Biology to Models and Applications
    David Alleysson, Nathalie Guyader · 2015 · Wiley eBooks
  24. New algorithms for solving inverse source problems in imaging techniques with applications in fluorescence tomography
    Ke Yin · 2013 · SMARTech Repository (Georgia Institute of Technology)
  25. Learning Generative Prior with Latent Space Sparsity Constraints
    Vinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula · 2021 · arXiv (Cornell University)
  26. Dictionary and prior learning with unrolled algorithms for unsupervised inverse problems
    Benoît Malézieux, Thomas Moreau, Matthieu Kowalski · 2021 · HAL
  27. MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense
    Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Peer‐Timo Bremer · 2018 · arXiv (Cornell University)
  28. Parallel magnetic resonance imaging reconstruction problems using wavelet representations
    Lotfi Chaâri · 2010 · theses.fr (ABES)
  29. Non-parametric evaluation of stress fields for history-dependent materials : Formulation, Validation and Appications
    Raphaël Langlois · 2023
  30. Anisotropy regularization-based restoration of imaging process in line-scanning spectrometer
    Ran Wei, Ye Zhang, Yushi Chen · 2015 · Journal of Applied Remote Sensing
  31. Mitigating transmission sidelobes in NIR Liquid Crystal Tuneable Filters using inverse methods
    Timothy Roper, Mark Andrews · 2012 · IEEE International Instrumentation and Measurement Technology Conference
  32. A regularization modification to linear spectral unmixing algorithm
    Ye Zhang, Ran Wei, Hao Chen, Shi Tian Tong, Yan Qi Lao · 2012 · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
  33. A Method for Estimating the Coil Sensitivity Maps from the Surface Images in Parallel Imaging
    Xiaofang Liu, YiBing Lao, Feng Liu · 2010 · International Conference on Bioinformatics and Biomedical Engineering
  34. Estimating the Coil Sensitivity Maps from the Surface Images in Parallel Imaging
    Xiaofang Liu, Xiuzi Ye, Feng Liu · 2010 · International Conference on Biomedical Engineering and Computer Science
  35. Performances of Classic and Weighted Versions of Some Selected Methods in Estimation of Spectral Data from Camera Responses
    Abolfazl Aghanouri, Eslahi Niloofar, Vahid Babaei · 2013
  36. Adaptive Filters and Observers
    José M. Girón-Sierra · 2016 · Signals and communication technology
  37. Effect of spatial distribution of partial information on the accurate recovery of optical wave fields
    Figen S. Öktem, Haldun M. Özaktaş · 2016 · Applied Optics
  38. On the Computation of Neumann Series
    Vassil S. Dimitrov, Diego F. G. Coelho · 2017 · arXiv (Cornell University)
  39. Deep Learning for Nonlinear Diffractive Imaging
    Yu Sun, Zhihao Xia, Ulugbek S. Kamilov · 2018 · arXiv (Cornell University)
  40. Reflectance Estimation Based on Locally Weighted Linear Regression Methods
    Dejun Lu, Weifeng Zhang, Kaixuan Cuan, Pengfei Liu · 2018 · Communications in computer and information science
  41. Study on spectral reconstruction algorithm based on kernel entropy component analysis
    Shan Sun, Weiping Yang, Xiao-Xiao Zhang, Yang Zhang, Dongdong Gong · 2018 · Advanced Optical Imaging Technologies
  42. Spectral image recovery from Spectral Filter Array cameras using LMMSE
    Prakhar Amba, David Alleysson · 2019 · Color and Imaging Conference
  43. 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
  44. Kernel Regularization for Image Restoration
    V. S. Unni, Kunal N. Chaudhury · 2020 · Proceedings - International Conference on Image Processing
  45. Research on Optimal Samples Selection Method for Digital Camera-Based Spectral Reflectance Estimation
    Jinxing Liang, Jia Chen, Xinrong Hu · 2021 · Lecture notes in electrical engineering
  46. Bibliography
    Roy S. Berns · 2019 · Wiley eBooks
  47. Optimization Algorithms for MR Reconstruction
    Jiaming Liu, Rakib Hyder, M. Salman Asif, Ulugbek S. Kamilov · 2022 · Advances in magnetic resonance technology and applications
  48. The appeals of quadratic majorization–minimization
    Marc C. Robini, Lihui Wang, Yuemin Zhu · 2024 · Journal of Global Optimization
  49. Enhancing convergence speed in sparse signal denoising: the APFISTA algorithm
    Jin Wang · 2024 · Optimization
  50. Designing adaptive deep denoisers for Plug-and-Play FBS with stable iterations
    Qingliang Guo, Zhonggui Sun · 2025 · Neurocomputing
  51. Identifying a Piecewise Affine Signal From Its Nonlinear Observation—Application to DNA Replication Analysis
    Clara Lage, Nelly Pustelnik, Jean‐Michel Arbona, Benjamin Audit, Rémi Gribonval · 2025 · IEEE Transactions on Signal Processing
  52. On the Design of Weakly-Convex Regularizers for Solving Linear Inverse Problems
    Abijith Jagannath Kamath, Abhishek Shreekant Bhandiwad, Chandra Sekhar Seelamantula · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  53. Implementing the Minimum-Extent Criterion for Solving Linear Inverse Problems
    С. М. Вовк, Valentine F. Borulko · 2025 · Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory
  54. Inter-reflections in computer vision : importance, modeling & application in spectral estimation
    Rada Deeb · 2018
  55. Where Prior Learning Can and Can’t Work in Unsupervised Inverse Problems
    Benoît Malézieux, Florent Michel, Thomas Moreau, Matthieu Kowalski · 2026 · IEEE Transactions on Signal Processing
  56. Physics-informed neural networks with relaxed alternating learning for image inpainting
    Mohamed Nacereddine Toros, Mourad Nachaoui, Amine Laghrib, Mustapha Johri · 2026 · Neural Networks