Two-phase approach for deblurring images corrupted by impulse plus Gaussian noise
From MaRDI portal
Publication:998864
DOI10.3934/ipi.2008.2.187zbMath1154.94306OpenAlexW2334911726MaRDI QIDQ998864
Jian-Feng Cai, Mila Nikolova, Raymond Honfu Chan
Publication date: 30 January 2009
Published in: Inverse Problems and Imaging (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/ipi.2008.2.187
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Inverse problems in optimal control (49N45)
Related Items (37)
Locally adaptive total variation for removing mixed Gaussian–impulse noise ⋮ A hybrid optimization method for multiplicative noise and blur removal ⋮ Generalized Peaceman-Rachford splitting method for multiple-block separable convex programming with applications to robust PCA ⋮ Image deblurring via total variation based structured sparse model selection ⋮ An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing ⋮ Edge adaptive hybrid regularization model for image deblurring ⋮ A partially isochronous splitting algorithm for three-block separable convex minimization problems ⋮ A multi-parameter regularization model for deblurring images corrupted by impulsive noise ⋮ A parallel splitting method for separable convex programs ⋮ A spatially adaptive hybrid total variation model for image restoration under Gaussian plus impulse noise ⋮ Automated parameter selection in the ${L}^{1} \mbox{-} {L}^{2}$-TV model for removing Gaussian plus impulse noise ⋮ An augmented Lagrangian method for \(\mathrm{TV}_g +L^1\)-norm minimization ⋮ A combined first and fractional order regularization method for mixed Poisson-White spike noisy image restoration ⋮ Generalised nonlocal image smoothing ⋮ Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step ⋮ Impulse noise removal by using a nonconvex TGV regularizer and nonconvex fidelity ⋮ An \(l_0\)-norm based color image deblurring model under mixed random-valued impulse and Gaussian noise ⋮ An ADM-based splitting method for separable convex programming ⋮ Nonconvex model for mixing noise with fractional-order regularization ⋮ $ \newcommand{\e}{{\rm e}} \ell_{0}$ -minimization methods for image restoration problems based on wavelet frames ⋮ Edge detection with mixed noise based on maximum a posteriori approach ⋮ Wavelet Based Restoration of Images with Missing or Damaged Pixels ⋮ Multiplicative Noise Removal Based on Unbiased Box-Cox Transformation ⋮ Sparse representation based image deblurring model under random-valued impulse noise ⋮ Automated parameter selection for total variation minimization in image restoration ⋮ Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization ⋮ Inexact Half-Quadratic Optimization for Linear Inverse Problems ⋮ Variable splitting based method for image restoration with impulse plus Gaussian noise ⋮ A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA ⋮ A distributed Douglas-Rachford splitting method for multi-block convex minimization problems ⋮ A denoising model adapted for impulse and Gaussian noises using a constrained-PDE ⋮ An alternating direction method for mixed Gaussian plus impulse noise removal ⋮ Analysis and automatic parameter selection of a variational model for mixed Gaussian and salt-and-pepper noise removal ⋮ Nonlocal low-rank regularized two-phase approach for mixed noise removal ⋮ Infimal Convolution of Data Discrepancies for Mixed Noise Removal ⋮ A fast edge detection algorithm using binary labels ⋮ A convex variational model for restoring blurred images with large Rician noise
This page was built for publication: Two-phase approach for deblurring images corrupted by impulse plus Gaussian noise
