Restoration of images corrupted by Gaussian and uniform impulsive noise
From MaRDI portal
Publication:962771
DOI10.1016/j.patcog.2009.11.017zbMath1191.68590OpenAlexW2036359163MaRDI QIDQ962771
Publication date: 7 April 2010
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2009.11.017
Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)
Related Items (9)
Locally adaptive total variation for removing mixed Gaussian–impulse noise ⋮ Removing mixture of Gaussian and impulse noise by patch-based weighted means ⋮ 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 ⋮ The maximum a posteriori estimation model for signal recovery with mixed Gaussian and impulse noise ⋮ Nonconvex model for mixing noise with fractional-order regularization ⋮ Edge detection with mixed noise based on maximum a posteriori approach ⋮ Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization ⋮ Inexact Half-Quadratic Optimization for Linear Inverse Problems
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An improved kernel regression method based on Taylor expansion
- An algebraic characterization of the optimum of regularized kernel methods
- Time-scale similarities for robust image de-noising
- Multichannel filtering by gradient information
- Image denoising in steerable pyramid domain based on a local Laplace prior
- A new impulse detection and filtering method for removal of wide range impulse noises
- Fuzzy reasoning-based directional median filter design
- A generalization of median filtering using linear combinations of order statistics
- Decoding real block codes: activity detection Wiener estimation
- Efficient Minimization Method for a Generalized Total Variation Functional
This page was built for publication: Restoration of images corrupted by Gaussian and uniform impulsive noise