Pages that link to "Item:Q5174309"
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The following pages link to On Infimal Convolution of TV-Type Functionals and Applications to Video and Image Reconstruction (Q5174309):
Displaying 28 items.
- Tomographic reconstruction methods for decomposing directional components (Q1631544) (← links)
- Total variation for image denoising based on a novel smart edge detector: an application to medical images (Q1716779) (← links)
- Priors with coupled first and second order differences for manifold-valued image processing (Q1799618) (← links)
- A convex variational model for learning convolutional image atoms from incomplete data (Q1988356) (← links)
- Directional total generalized variation regularization (Q2009111) (← links)
- A variational method for Abel inversion tomography with mixed Poisson-Laplace-Gaussian noise (Q2158261) (← links)
- Combined first and second order variational approaches for image processing (Q2351702) (← links)
- RNLp: mixing nonlocal and TV-Lp methods to remove impulse noise from images (Q2417936) (← links)
- Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis (Q2967910) (← links)
- Infimal Convolution of Data Discrepancies for Mixed Noise Removal (Q3130742) (← links)
- Artifact-Free Variational MPEG Decompression (Q3300301) (← links)
- Review of Image Similarity Measures for Joint Image Reconstruction from Multiple Measurements (Q3379568) (← links)
- A function space framework for structural total variation regularization with applications in inverse problems (Q4570992) (← links)
- An Anisotropic Inf-Convolution BV Type Model for Dynamic Reconstruction (Q4686912) (← links)
- Strain analysis by a total generalized variation regularized optical flow model (Q4988541) (← links)
- An optimal transport approach for solving dynamic inverse problems in spaces of measures (Q4994020) (← links)
- Regularization graphs—a unified framework for variational regularization of inverse problems (Q5043655) (← links)
- A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm (Q5043740) (← links)
- Bilevel Training Schemes in Imaging for Total Variation--Type Functionals with Convex Integrands (Q5056918) (← links)
- An Image Registration Model in Electron Backscatter Diffraction (Q5068850) (← links)
- Dualization and Automatic Distributed Parameter Selection of Total Generalized Variation via Bilevel Optimization (Q5089331) (← links)
- Higher-order total variation approaches and generalisations (Q5139310) (← links)
- Infimal Convolution of Oscillation Total Generalized Variation for the Recovery of Images with Structured Texture (Q5230402) (← links)
- Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation (Q5230411) (← links)
- Modern regularization methods for inverse problems (Q5230515) (← links)
- A combined first and fractional order regularization method for mixed Poisson-White spike noisy image restoration (Q6066509) (← links)
- A generalized conditional gradient method for dynamic inverse problems with optimal transport regularization (Q6101266) (← links)
- Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling (Q6144067) (← links)
