Splines in Higher Order TV Regularization
International Journal of Computer Vision
Image Deblurring in the Presence of Impulsive Noise
International Journal of Computer Vision
Domain decomposition methods in image denoising using Gaussian curvature
Journal of Computational and Applied Mathematics
Impulse noise removal utilizing second-order difference analysis
Signal Processing
A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration
Journal of Scientific Computing
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Journal of Mathematical Imaging and Vision
Convergence of Fixed Point Iteration for Modified Restoration Problems
Journal of Mathematical Imaging and Vision
Discriminatively regularized least-squares classification
Pattern Recognition
Detail-Preserving Regularization Based Removal of Impulse Noise from Highly Corrupted Images
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Journal of Biomedical Imaging
Mumford-Shah regularizer with contextual feedback
Journal of Mathematical Imaging and Vision
An Adaptive Method for Recovering Image from Mixed Noisy Data
International Journal of Computer Vision
Finite element techniques for removing the mixture of Gaussian and impulsive noise
IEEE Transactions on Signal Processing
A robust hidden Markov Gauss mixture vector quantizer for a noisy source
IEEE Transactions on Image Processing
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images
IEEE Transactions on Image Processing
Geometric features-based filtering for suppression of impulse noise in color images
IEEE Transactions on Image Processing
Fast Two-Phase Image Deblurring Under Impulse Noise
Journal of Mathematical Imaging and Vision
Root Mean Square filter for noisy images based on hyper graph model
Image and Vision Computing
An efficient median filter based method for removing random-valued impulse noise
Digital Signal Processing
A low-cost VLSI implementation for efficient removal of impulse noise
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Generalised Nonlocal Image Smoothing
International Journal of Computer Vision
Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise
International Journal of Computer Vision
An efficient two-phase L1-TV method for restoring blurred images with impulse noise
IEEE Transactions on Image Processing
Switching bilateral filter with a texture/noise detector for universal noise removal
IEEE Transactions on Image Processing
An Augmented Lagrangian Method for TVg+L1-norm Minimization
Journal of Mathematical Imaging and Vision
EURASIP Journal on Advances in Signal Processing
Impulse noise filtering using robust pixel-wise S-estimate of variance
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Image restoration under mixed noise using globally convex segmentation
Journal of Visual Communication and Image Representation
Document image analysis: issues, comparison of methods and remaining problems
Artificial Intelligence Review
A low power JPEG2000 encoder with iterative and fault tolerant error concealment
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A Smoothed Particle Image Reconstruction method
Calcolo: a quarterly on numerical analysis and theory of computation
An adaptive median filter algorithm based on B-spline function
International Journal of Automation and Computing
An efficient decision-based and edge-preserving method for salt-and-pepper noise removal
Pattern Recognition Letters
A variational Bayesian method to inverse problems with impulsive noise
Journal of Computational Physics
Image filtering using support vector machine
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Evolutionary image enhancement for impulsive noise reduction
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Regularization with adaptive neighborhood condition for image denoising
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
WSEAS Transactions on Signal Processing
Denoising of salt-and-pepper noise corrupted image using modified directional-weighted-median filter
Pattern Recognition Letters
Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
SIAM Journal on Imaging Sciences
Robust impulse-noise filtering for biomedical images using numerical interpolation
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
A restoration algorithm for images contaminated by mixed Gaussian plus random-valued impulse noise
Journal of Visual Communication and Image Representation
Dictionary learning based impulse noise removal via L1-L1 minimization
Signal Processing
Total variation regularization algorithms for images corrupted with different noise models: a review
Journal of Electrical and Computer Engineering
Hybrid regularization image deblurring in the presence of impulsive noise
Journal of Visual Communication and Image Representation
A switching weighted vector median filter based on edge detection
Signal Processing
Salt and pepper noise filtering with fuzzy-cellular automata
Computers and Electrical Engineering
An effective 2-stage method for removing impulse noise in images
Journal of Visual Communication and Image Representation
Modified directional weighted filter for removal of salt & pepper noise
Pattern Recognition Letters
Conditional Toggle Mappings: Principles and Applications
Journal of Mathematical Imaging and Vision
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This paper proposes a two-phase scheme for removing salt-and-pepper impulse noise. In the first phase, an adaptive median filter is used to identify pixels which are likely to be contaminated by noise (noise candidates). In the second phase, the image is restored using a specialized regularization method that applies only to those selected noise candidates. In terms of edge preservation and noise suppression, our restored images show a significant improvement compared to those restored by using just nonlinear filters or regularization methods only. Our scheme can remove salt-and-pepper-noise with a noise level as high as 90%.