The Shannon total variation
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Publication:1703959
DOI10.1007/s10851-017-0733-5zbMath1382.94005OpenAlexW2612720148MaRDI QIDQ1703959
Publication date: 8 March 2018
Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10851-017-0733-5
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Measures of information, entropy (94A17)
Related Items (7)
Hybrid regularized cone-beam reconstruction for axially symmetric object tomography ⋮ A four directions variational method for solving image processing problems ⋮ Image denoising via a new hybrid TGV model based on Shannon interpolation ⋮ Approximating the total variation with finite differences or finite elements ⋮ Unnamed Item ⋮ Discrete Total Variation: New Definition and Minimization ⋮ Learning Consistent Discretizations of the Total Variation
Uses Software
Cites Work
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- Nonlinear total variation based noise removal algorithms
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- A variant of compressed sensing
- Cardinal spline filters: Stability and convergence to the ideal sinc interpolator
- Modeling textures with total variation minimization and oscillating patterns in image processing
- An algorithm for total variation minimization and applications
- A simple algorithm for a class of nonsmooth convex-concave saddle-point problems
- Robust regression: Asymptotics, conjectures and Monte Carlo
- Periodic plus smooth image decomposition
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Image restoration with discrete constrained total variation. I: Fast and exact optimization
- Deterministic constructions of compressed sensing matrices
- Dual norms and image decomposition models
- Edge Direction Preserving Image Zooming: A Mathematical and Numerical Analysis
- Influence of Unknown Exterior Samples on Interpolated Values for Band-Limited Images
- Model Sets and New Versions of Shannon Sampling Theorem
- A Generalized Forward-Backward Splitting
- Posterior Expectation of the Total Variation Model: Properties and Experiments
- iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
- Proximal Splitting Methods in Signal Processing
- An Upwind Finite-Difference Method for Total Variation–Based Image Smoothing
- Contour Stencils: Total Variation along Curves for Adaptive Image Interpolation
- Discrete Total Variation: New Definition and Minimization
- Total Variation Restoration of Images Corrupted by Poisson Noise with Iterated Conditional Expectations
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Efficient Schemes for Total Variation Minimization Under Constraints in Image Processing
- Irregular to Regular Sampling, Denoising, and Deconvolution
- Fast, robust total variation-based reconstruction of noisy, blurred images
- Local Strong Homogeneity of a Regularized Estimator
- High-Order Total Variation-Based Image Restoration
- Structural Properties of Solutions to Total Variation Regularization Problems
- Sampling-50 years after Shannon
- The statistics of natural images
- A Convex Optimization Approach for Depth Estimation Under Illumination Variation
- Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
- Total Variation Projection With First Order Schemes
- A Spectral Approach to Total Variation
- Signal Recovery by Proximal Forward-Backward Splitting
- Robust Estimation of a Location Parameter
- Proximité et dualité dans un espace hilbertien
- Total Generalized Variation
- Compressed sensing
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