Pages that link to "Item:Q1425792"

The following pages link to A variational approach to remove outliers and impulse noise (Q1425792):

Displaying 50 items.

• A variational method for Abel inversion tomography with mixed Poisson-Laplace-Gaussian noise (Q2158261) (← links)
• Shearlet-TGV based model for restoring noisy images corrupted by Cauchy noise (Q2173294) (← links)
• Removing random-valued impulse noise with reliable weight (Q2176513) (← links)
• A nonconvex \(l_1 (l_1-l_2)\) model for image restoration with impulse noise (Q2178405) (← links)
• Inexact first-order primal-dual algorithms (Q2181598) (← links)
• A new accelerated self-adaptive stepsize algorithm with excellent stability for split common fixed point problems (Q2196289) (← links)
• A two-stage method for spectral-spatial classification of hyperspectral images (Q2203358) (← links)
• A proximal interior point algorithm with applications to image processing (Q2203368) (← links)
• Total variation and high-order total variation adaptive model for restoring blurred images with Cauchy noise (Q2203814) (← links)
• An overlapping domain decomposition framework without dual formulation for variational imaging problems (Q2216603) (← links)
• Fixed-point proximity algorithms solving an incomplete Fourier transform model for seismic wavefield modeling (Q2222155) (← links)
• A combined first and second order variational approach for image reconstruction (Q2251226) (← links)
• An adversarial optimization approach to efficient outlier removal (Q2251235) (← links)
• Wavelet frame based scene reconstruction from range data (Q2270054) (← links)
• Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization (Q2275967) (← links)
• A finite element nonoverlapping domain decomposition method with Lagrange multipliers for the dual total variation minimizations (Q2291912) (← links)
• An adaptive fixed-point proximity algorithm for solving total variation denoising models (Q2293175) (← links)
• A ``nonconvex+nonconvex'' approach for image restoration with impulse noise removal (Q2306771) (← links)
• A fast algorithm for solving linear inverse problems with uniform noise removal (Q2312004) (← links)
• Optimal subgradient methods: computational properties for large-scale linear inverse problems (Q2315075) (← links)
• An alternating direction method for mixed Gaussian plus impulse noise removal (Q2319190) (← links)
• A modified iterative alternating direction minimization algorithm for impulse noise removal in images (Q2336566) (← links)
• A texture image denoising approach based on fractional developmental mathematics (Q2337486) (← links)
• Multi-step fixed-point proximity algorithms for solving a class of optimization problems arising from image processing (Q2348695) (← links)
• Piecewise-smooth image segmentation models with \(L^1\) data-fidelity terms (Q2356611) (← links)
• Non-convex TV denoising corrupted by impulse noise (Q2360783) (← links)
• Image decompositions using bounded variation and generalized homogeneous Besov spaces (Q2371327) (← links)
• Constrained and SNR-based solutions for TV-Hilbert space image denoising (Q2384069) (← links)
• Image restoration with discrete constrained total variation. II: Levelable functions, convex priors and non-convex cases (Q2384080) (← links)
• Image restoration with discrete constrained total variation. I: Fast and exact optimization (Q2384085) (← links)
• Convergence analysis of tight framelet approach for missing data recovery (Q2391077) (← links)
• A multi-parameter regularization model for deblurring images corrupted by impulsive noise (Q2405844) (← links)
• Discrete total variation with finite elements and applications to imaging (Q2417931) (← links)
• RNLp: mixing nonlocal and TV-Lp methods to remove impulse noise from images (Q2417936) (← links)
• Domain decomposition methods using dual conversion for the total variation minimization with \(L^1\) fidelity term (Q2420690) (← links)
• Geometry of total variation regularized \(L^p\)-model (Q2428136) (← links)
• The Moreau envelope approach for the L1/TV image denoising model (Q2437921) (← links)
• Signal recovery from incomplete measurements in the presence of outliers (Q2470781) (← links)
• Structure-texture image decomposition -- modeling, algorithms, and parameter selection (Q2508359) (← links)
• Exact histogram specification for digital images using a variational approach (Q2513399) (← links)
• Salt-and-pepper noise removal via local Hölder seminorm and nonlocal operator for natural and texture image (Q2515364) (← links)
• Robust multi-image processing with optimal sparse regularization (Q2515365) (← links)
• Efficient nonsmooth nonconvex optimization for image restoration and segmentation (Q2515532) (← links)
• Salt and pepper noise removal with multi-class dictionary learning and L\(_0\) norm regularizations (Q2633271) (← links)
• A non-convex PDE-constrained denoising model for impulse and Gaussian noise mixture reduction (Q2697349) (← links)
• Convergence rates for exponentially ill-posed inverse problems with impulsive noise (Q2788625) (← links)
• Energy Minimization Methods (Q2789802) (← links)
• Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration (Q2789829) (← links)
• Shape Spaces (Q2789836) (← links)
• A fractional partial differential equation based multiscale denoising model for texture image (Q2922230) (← links)