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Signal processing, ISSN 0165-1684, 2009, Volume 89, Issue 9, pp. 1683 - 1693
Total variation | Image deblurring | Adaptive | Regularization parameter | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Miscellaneous | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal processing | Applied sciences | Information, signal and communications theory | Mathematical optimization | Algorithms | Approximation | Television | Least squares method | Mathematical analysis | Images | Bayesian analysis | Regularization
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IEEE signal processing letters, ISSN 1070-9908, 08/2014, Volume 21, Issue 8, pp. 985 - 989
Inverse problems | Convex nonsmooth optimization | regularized inverse problem | Signal processing algorithms | Imaging | proximal splitting algorithm | Convex functions | Hilbert space | total variation | Optimization | Convergence | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Linear systems | Splitting | Algorithms | Mathematical analysis | Inverse | Engineering Sciences | Signal and Image processing
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Signal processing, ISSN 0165-1684, 11/2020, Volume 176, p. 107673
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Inverse problems, ISSN 0266-5611, 03/2010, Volume 26, Issue 3, pp. 035013 - 3501329
Physical Sciences | Mathematics | Mathematics, Applied | Physics | Physics, Mathematical | Science & Technology | General | Exact sciences and technology | Inverse problems | Television | X-rays | Tomography | Minimization | Projection | Mathematical models | Optimization | high order TV | total variation (TV) | compressive sensing | Interior tomography
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Infrared and visible image fusion via gradient transfer and total variation minimization
Information fusion, ISSN 1566-2535, 09/2016, Volume 31, pp. 100 - 109
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IEEE transactions on image processing, ISSN 1057-7149, 04/2019, Volume 28, Issue 4, pp. 1851 - 1865
Deconvolution | Matching pursuit algorithms | Total variation | Minimization | convex programming | matching pursuit | Task analysis | Kernel | Optimization | image deconvolution | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Computer vision | Artifacts | State of the art | Model matching | Smoothing | Images | Linear programming | Inhomogeneity | Parameter sensitivity | Regularization | Computer Science - Computer Vision and Pattern Recognition
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SIAM journal on imaging sciences, ISSN 1936-4954, 2013, Volume 6, Issue 2, pp. 1035 - 1058
Stability | Restricted isometry property | Sobolev inequality | Total variation minimization | Compressed sensing | Physical Sciences | Technology | Computer Science | Computer Science, Artificial Intelligence | Mathematics | Computer Science, Software Engineering | Mathematics, Applied | Imaging Science & Photographic Technology | Science & Technology | Approximation | Mathematical analysis | Imaging | Inequalities | Images | Minimization | Image reconstruction | Optimization
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SIAM journal on imaging sciences, ISSN 1936-4954, 2017, Volume 10, Issue 3, pp. 1258 - 1290
Coarea formula | Total variation | Variational image processing | Finite-difference schemes | Physical Sciences | Technology | Computer Science | Computer Science, Artificial Intelligence | Mathematics | Computer Science, Software Engineering | Mathematics, Applied | Imaging Science & Photographic Technology | Science & Technology | Engineering Sciences | Signal and Image processing
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SIAM journal on imaging sciences, ISSN 1936-4954, 2008, Volume 1, Issue 3, pp. 248 - 272
Isotropic total variation | Fast fourier transform | Image deblurring | Half-quadratic | Physical Sciences | Technology | Computer Science | Computer Science, Artificial Intelligence | Mathematics | Computer Science, Software Engineering | Mathematics, Applied | Imaging Science & Photographic Technology | Science & Technology
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Ultramicroscopy, ISSN 0304-3991, 02/2012, Volume 113, pp. 120 - 130
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IEEE transactions on image processing, ISSN 1057-7149, 02/2009, Volume 18, Issue 2, pp. 322 - 332
inverse problem | Minimization methods | Noise reduction | Laboratories | regularization | Vectors | Image restoration | Deconvolution | Inverse problems | Forward contracts | Signal processing algorithms | Approximation algorithms | total variation | Total variation | Regularization | Inverse problem | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Miscellaneous | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Reproducibility of Results | Algorithms | Computer Simulation | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Image Enhancement - methods | Models, Statistical | Linear programming | Usage | Research | Iterative methods (Mathematics) | Index Medicus | Television | Graphs | Representations | Linear operators | Optimization | Standards
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Medical physics (Lancaster), ISSN 0094-2405, 06/2015, Volume 42, Issue 6Part1, pp. 2827 - 2836
Reconstruction | Poisson's equation | digital breast tomosynthesis | Medical image noise | Medical image smoothing | Random noise | compressed sensing | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Digital tomosynthesis mammography | X‐ray imaging | Noise | diagnostic radiography | image reconstruction | Biological material, e.g. blood, urine; Haemocytometers | image denoising | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | Image analysis | Image data processing or generation, in general | Medical image reconstruction | total variation minimization | medical image processing | Biomedical imaging | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Algorithms | Humans | Signal-To-Noise Ratio | Radiographic Image Enhancement - methods | Image Processing, Computer-Assisted - methods | Mammography - methods | Phantoms, Imaging | Index Medicus
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IEEE signal processing letters, ISSN 1070-9908, 08/2018, Volume 25, Issue 8, pp. 1151 - 1155
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