A new method for removing mixed noises

DOI10.1007/S11432-010-4128-0zbMath1216.94013OpenAlexW2146279621MaRDI QIDQ543160

XiaoJun Luo, JiaWei Xu, Bing Li, Quan-sheng Liu

Publication date: 17 June 2011

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-010-4128-0

zbMATH Keywords

nonlinear filtersdenoisingimage restorationnon-local means filtertrilateral filterGaussian noisesmixed noisesrandom impulse noisessimilarity principle

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (12)

Locally adaptive total variation for removing mixed Gaussian–impulse noise ⋮ Removing mixture of Gaussian and impulse noise by patch-based weighted means ⋮ A general non-local denoising model using multi-kernel-induced measures ⋮ Convergence theorems for the non-local means filter ⋮ Removing random-valued impulse noise with reliable weight ⋮ 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 ⋮ RNLp: mixing nonlocal and TV-Lp methods to remove impulse noise from images ⋮ Nonconvex model for mixing noise with fractional-order regularization ⋮ Adaptive bidirectional diffusion for image restoration ⋮ Nonlocal Means and Optimal Weights for Noise Removal ⋮ An alternating direction method for mixed Gaussian plus impulse noise removal

Cites Work

• Nonlinear total variation based noise removal algorithms
• A Review of Image Denoising Algorithms, with a New One

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