Pages that link to "Item:Q2835435"
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The following pages link to Image restoration by minimizing zero norm of wavelet frame coefficients (Q2835435):
Displaying 30 items.
- Wavelet frame based image restoration via combined sparsity and nonlocal prior of coefficients (Q283303) (← links)
- Wavelet inpainting with the \(\ell_{0}\) sparse regularization (Q285527) (← links)
- Image recovery via geometrically structured approximation (Q285531) (← links)
- An efficient nonconvex regularization for wavelet frame and total variation based image restoration (Q492121) (← links)
- The proximal alternating iterative hard thresholding method for \(l_0\) minimization, with complexity \(\mathcal{O}(1/\sqrt{k})\) (Q730526) (← links)
- Compression and denoising using \(l _{0}\)-norm (Q763401) (← links)
- Regularized iterative Weiner filter method for blind image deconvolution (Q1696460) (← links)
- An efficient algorithm for \(\ell_{0}\) minimization in wavelet frame based image restoration (Q1945380) (← links)
- An accelerated smoothing gradient method for nonconvex nonsmooth minimization in image processing (Q2059822) (← links)
- Extrapolated smoothing descent algorithm for constrained nonconvex and nonsmooth composite problems (Q2105897) (← links)
- A nonconvex truncated regularization and box-constrained model for CT reconstruction (Q2198001) (← links)
- An edge driven wavelet frame model for image restoration (Q2300768) (← links)
- A characterization of multi-wavelet dual frames in Sobolev spaces (Q2305175) (← links)
- A new proximal iterative hard thresholding method with extrapolation for \(\ell _0\) minimization (Q2311987) (← links)
- Newton method for \(\ell_0\)-regularized optimization (Q2665935) (← links)
- On the local and global minimizers of $ \newcommand{\e}{{\rm e}} \ell_0$ gradient regularized model with box constraints for image restoration (Q4582667) (← links)
- Convex blind image deconvolution with inverse filtering (Q4634755) (← links)
- $\ell _0$ Minimization for wavelet frame based image restoration (Q4912013) (← links)
- Sparsity promoting regularization for effective noise suppression in SPECT image reconstruction (Q4973544) (← links)
- Alternating method based on framelet <i>l</i><sub>0</sub>-norm and TV regularization for image restoration (Q4990726) (← links)
- On a general smoothly truncated regularization for variational piecewise constant image restoration: construction and convergent algorithms (Q5000580) (← links)
- An image sharpening operator combined with framelet for image deblurring (Q5000589) (← links)
- A Three-Operator Splitting Algorithm for Nonconvex Sparsity Regularization (Q5005209) (← links)
- An accelerated majorization-minimization algorithm with convergence guarantee for non-Lipschitz wavelet synthesis model <sup>*</sup> (Q5019920) (← links)
- Zero norm based analysis model for image smoothing and reconstruction (Q5139309) (← links)
- CURE: Curvature Regularization for Missing Data Recovery (Q5143330) (← links)
- A new type of multilevel system for image sparse recovery (Q5204656) (← links)
- $ \newcommand{\e}{{\rm e}} \ell_{0}$ -minimization methods for image restoration problems based on wavelet frames (Q5383308) (← links)
- Template-based CT reconstruction with optimal transport and total generalized variation (Q6050823) (← links)
- Convergence properties of stochastic proximal subgradient method in solving a class of composite optimization problems with cardinality regularizer (Q6536946) (← links)
