Pages that link to "Item:Q3616291"

The following pages link to Learning Multiscale Sparse Representations for Image and Video Restoration (Q3616291):

Displaying 50 items.

• Image deblurring via total variation based structured sparse model selection (Q293085) (← links)
• Removing mixture of Gaussian and impulse noise by patch-based weighted means (Q293097) (← links)
• Recent development of dual-dictionary learning approach in medical image analysis and reconstruction (Q308734) (← links)
• Tomographic image reconstruction using training images (Q344271) (← links)
• A variational framework for exemplar-based image inpainting (Q408937) (← links)
• A new Poisson noise filter based on weights optimization (Q461238) (← links)
• Beyond sparsity: the role of \(L_{1}\)-optimizer in pattern classification (Q650959) (← links)
• A tensor-based dictionary learning approach to tomographic image reconstruction (Q727901) (← links)
• From local kernel to nonlocal multiple-model image denoising (Q847522) (← links)
• Video denoising via empirical Bayesian estimation of space-time patches (Q1701995) (← links)
• The nonlocal sparse reconstruction algorithm by similarity measurement with shearlet feature vector (Q1718716) (← links)
• Analysis sparse representation for nonnegative signals based on determinant measure by DC programming (Q1722682) (← links)
• Structured overcomplete sparsifying transform learning with convergence guarantees and applications (Q1799975) (← links)
• Toward fast transform learning (Q1799980) (← links)
• Image restoration via simultaneous sparse coding: where structured sparsity meets Gaussian scale mixture (Q1799981) (← links)
• Non-local methods with shape-adaptive patches (NLM-SAP) (Q1932941) (← links)
• Data-driven tight frame learning scheme based on local and non-local sparsity with application to image recovery (Q2014022) (← links)
• New bounds for subset selection from conic relaxations (Q2076815) (← links)
• Weighted nuclear norm minimization-based regularization method for image restoration (Q2077778) (← links)
• Fast overcomplete dictionary construction with probabilistic guarantees (Q2198175) (← links)
• Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization (Q2275967) (← links)
• Semi-supervised dictionary learning with label propagation for image classification (Q2287956) (← links)
• Single image super-resolution by non-linear sparse representation and support vector regression (Q2333472) (← links)
• Alternating direction method of multipliers for solving dictionary learning models (Q2343040) (← links)
• Learning an adaptive dictionary using a projected gradient method and its application on image de-noising (Q2893482) (← links)
• Dictionary Learning on Grassmann Manifolds (Q2954279) (← links)
• Texture Inpainting Using Efficient Gaussian Conditional Simulation (Q3130752) (← links)
• Spectral Decompositions Using One-Homogeneous Functionals (Q3179608) (← links)
• Semisupervised Dictionary Learning with Graph Regularized and Active Points (Q3296465) (← links)
• Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging (Q3454501) (← links)
• Generalized System Identification with Stable Spline Kernels (Q4553782) (← links)
• Common and Innovative Visuals: A Sparsity Modeling Framework for Video (Q4592450) (← links)
• (Q4633012) (← links)
• Understanding large text corpora via sparse machine learning (Q4969899) (← links)
• A Denoising PDE Model based on Isotropic Diffusion and Total Variation Models (Q4993661) (← links)
• (Q5054618) (← links)
• Sparse regularized fuzzy regression (Q5091845) (← links)
• (Q5104596) (← links)
• An unsupervised stereo matching cost based on sparse representation (Q5150118) (← links)
• The Maximum Entropy on the Mean Method for Image Deblurring (Q5150827) (← links)
• Maximum-a-Posteriori Estimation with Bayesian Confidence Regions (Q5266375) (← links)
• Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference (Q5370014) (← links)
• Identification of sparse FIR systems using a general quantisation scheme (Q5494503) (← links)
• Sparse Inpainting with Smoothed Particle Hydrodynamics (Q5860381) (← links)
• Bilevel Methods for Image Reconstruction (Q5870782) (← links)
• Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper (Q6080965) (← links)
• Blind image inpainting with sparse directional filter dictionaries for lightweight CNNs (Q6162154) (← links)
• Subset Selection and the Cone of Factor-Width-<i>k</i> Matrices (Q6195312) (← links)
• Morphological Diversity and Sparsity for Multichannel Data Restoration (Q6483494) (← links)
• Structured dictionary learning of rating migration matrices for credit risk modeling (Q6661272) (← links)