Multiple-constraint variational framework and image restoration problems

No abstract is available for this paper.

• Publication year

  2015

• Venue

  IET Image Processing

• Publication date

  2015-06-01

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers
  DOI 10.1049/IET-IPR.2013.0719
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• High-quality computational imaging through simple lenses

  2013cited by this paper
• Dual Norm Based Iterative Methods for Image Restoration

  2012cited by this paper
• BM3D Frames and Variational Image Deblurring

  2011cited by this paper
• A Multi-Scale Vectorial Lτ-TV Framework for Color Image Restoration

  2011cited by this paper
• Multispectral image denoising by well-posed anisotropic diffusion scheme with channel coupling

  2010cited by this paper
• A Two-Step Framework for Constructing Blind Image Quality Indices

  2010cited by this paper
• Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors

  2010cited by this paper
• A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration

  2009cited by this paper
• Clustering-Based Denoising With Locally Learned Dictionaries

  2009cited by this paper
• Stochastic Image Denoising

  2009cited by this paper
• A New Alternating Minimization Algorithm for Total Variation Image Reconstruction

  2008cited by this paper
• Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation

  2008cited by this paper
• Fast and exact solution of Total Variation models on the GPU

  2008cited by this paper
• Structure-Texture Image Decomposition—Modeling, Algorithms, and Parameter Selection

  2006cited by this paper
• Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries

  2006cited by this paper
• Image denoising with block-matching and 3D filtering

  2006cited by this paper
• Aspects of Total Variation Regularized L[sup 1] Function Approximation

  2005cited by this paper
• A Review of Image Denoising Algorithms, with a New One

  2005cited by this paper
• A non-local algorithm for image denoising

  2005cited by this paper
• An Algorithm for Total Variation Minimization and Applications

  2004cited by this paper
• Image quality assessment: from error visibility to structural similarity

  2004cited by this paper
• Variational Restoration and Edge Detection for Color Images

  2003cited by this paper
• Image decomposition, image restoration, and texture modeling using total variation minimization and the H/sup -1/ norm

  2003cited by this paper
• Image denoising using scale mixtures of Gaussians in the wavelet domain

  2003cited by this paper
• Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers

  2002cited by this paper
• The digital TV filter and nonlinear denoising

  2001cited by this paper
• Color TV: total variation methods for restoration of vector-valued images

  1998cited by this paper
• Nonlinear total variation based noise removal algorithms

  1992cited by this paper

• Hybrid regularization model combining overlapping group sparse second-order total variation and nonconvex total variation

  2022influential citation
• Research on Image Deblurring Processing Technology Based on Genetic Algorithm

  2021cites this paper
• Fast proximal splitting algorithm for constrained TGV-regularised image restoration and reconstruction

  2019cites this paper
• A nonconvex and nonsmooth anisotropic total variation model for image noise and blur removal

  2019cites this paper
• A fast proximal splitting algorithm for constrained TGV-regularized image restoration

  2017cites this paper