A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise

DOI10.1137/120885000zbMath1278.62156OpenAlexW4300710699MaRDI QIDQ2873232

Julie Delon, Agnès Desolneux

Publication date: 23 January 2014

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/120885000

zbMATH Keywords

order statisticsGaussian noisemaximum likelihood estimatordenoisingrestorationnonlocal methodsimage patch

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Computing methodologies for image processing (68U10)

Related Items (12)

Locally adaptive total variation for removing mixed Gaussian–impulse noise ⋮ Removal of mixed Gaussian and impulse noise using directional tensor product complex tight framelets ⋮ Removing mixture of Gaussian and impulse noise by patch-based weighted means ⋮ 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 ⋮ Patch Redundancy in Images: A Statistical Testing Framework and Some Applications ⋮ Nonconvex model for mixing noise with fractional-order regularization ⋮ A new weighted mean filter with a two-phase detector for removing impulse noise ⋮ Sparse representation based image deblurring model under random-valued impulse noise ⋮ Inexact Half-Quadratic Optimization for Linear Inverse Problems

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