Pages that link to "Item:Q5370423"
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The following pages link to Hessian-Based Norm Regularization for Image Restoration With Biomedical Applications (Q5370423):
Displaying 41 items.
- Infimal convolution regularisation functionals of BV and \(\mathrm{L}^p\) spaces. I: The finite \(p\) case (Q294403) (← links)
- A second-order TV-type approach for inpainting and denoising higher dimensional combined cyclic and vector space data (Q294409) (← links)
- Restoring Poissonian images by a combined first-order and second-order variation approach (Q355669) (← links)
- Kullback-Leibler divergence based composite prior modeling for Bayesian super-resolution (Q474924) (← links)
- An efficient nonconvex regularization for wavelet frame and total variation based image restoration (Q492121) (← links)
- Image restoration using total variation with overlapping group sparsity (Q527150) (← links)
- On optimal \(L^1\)-control in coefficients for quasi-linear Dirichlet boundary value problems with \textit{BMO}-anisotropic \(p\)-Laplacian (Q828999) (← links)
- Iterative reweighted total generalized variation based Poisson noise removal model (Q907547) (← links)
- Speckle noise removal in ultrasound images by first- and second-order total variation (Q1646671) (← links)
- TV+TV regularization with nonconvex sparseness-inducing penalty for image restoration (Q1719139) (← links)
- Mixed higher order variational model for image recovery (Q1719403) (← links)
- Image restoration by a mixed high-order total variation and \(l_1\) regularization model (Q1721281) (← links)
- Deblurring Poisson noisy images by total variation with overlapping group sparsity (Q1733626) (← links)
- Image restoration with a high-order total variation minimization method (Q1789553) (← links)
- Efficient multiplicative noise removal method using isotropic second order total variation (Q2006490) (← links)
- A multi-frame super-resolution based on new variational data fidelity term (Q2049823) (← links)
- Hybrid regularized cone-beam reconstruction for axially symmetric object tomography (Q2156686) (← links)
- Total variation and high-order total variation adaptive model for restoring blurred images with Cauchy noise (Q2203814) (← links)
- A parallel proximal splitting method for disparity estimation from multicomponent images under illumination variation (Q2251191) (← links)
- Homogeneous penalizers and constraints in convex image restoration (Q2251195) (← links)
- A combined first and second order variational approach for image reconstruction (Q2251226) (← links)
- High-order total variation-based Poissonian image deconvolution with spatially adapted regularization parameter (Q2290145) (← links)
- Color image restoration and inpainting via multi-channel total curvature (Q2308210) (← links)
- Combined first and second order variational approaches for image processing (Q2351702) (← links)
- Alternating direction method for the high-order total variation-based Poisson noise removal problem (Q2356065) (← links)
- Variational image colorization models using higher-order Mumford-Shah regularizers (Q2399207) (← links)
- A second order nonsmooth variational model for restoring manifold-valued images (Q2790077) (← links)
- Generic Half-Quadratic Optimization for Image Reconstruction (Q3192675) (← links)
- Analysis and Application of a Nonlocal Hessian (Q3454488) (← links)
- A Convex Approach for Image Restoration with Exact Poisson--Gaussian Likelihood (Q3454505) (← links)
- An iterative decoupled method with weighted nuclear norm minimization for image restoration (Q5030550) (← links)
- Representation and reconstruction of covariance operators in linear inverse problems (Q5117389) (← links)
- An Algorithm for Second Order Mumford--Shah Models Based on a Taylor Jet Formulation (Q5143341) (← links)
- Simultaneous Cartoon and Texture Image Restoration with Higher-Order Regularization (Q5250011) (← links)
- A fast higher degree total variation minimization method for image restoration (Q5739621) (← links)
- Inhomogeneous regularization with limited and indirect data (Q6114725) (← links)
- Saturation-value based higher-order regularization for color image restoration (Q6164175) (← links)
- Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation (Q6171683) (← links)
- A majorization-minimization algorithm for neuroimage registration (Q6541915) (← links)
- Iteratively Refined Image Reconstruction with Learned Attentive Regularizers (Q6618022) (← links)
- Min-max framework for majorization-minimization algorithms in signal processing applications: an overview (Q6638675) (← links)