Browse > Computer Vision > Image Denoising > Salt-And-Pepper Noise Removal

# Salt-And-Pepper Noise Removal Edit

1 papers with code · Computer Vision

Salt-and-pepper noise is a form of noise sometimes seen on images. It is also known as impulse noise. This noise can be caused by sharp and sudden disturbances in the image signal. It presents itself as sparsely occurring white and black pixels.

( Image credit: NAMF )

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# A Nonlinear Acceleration Method for Iterative Algorithms

4 Jun 2019

Iterative methods have led to better understanding and solving problems such as missing sampling, deconvolution, inverse systems, impulsive and Salt and Pepper noise removal problems.

# A Greedy Approach to $\ell_{0,\infty}$ Based Convolutional Sparse Coding

26 Dec 2018

This has the disadvantage that the reconstructed image no longer obeys the sparsity prior used in the processing.

# Dual Reweighted Lp-Norm Minimization for Salt-and-pepper Noise Removal

22 Nov 2018

The robust principal component analysis (RPCA), which aims to estimate underlying low-rank and sparse structures from the degraded observation data, has found wide applications in computer vision.

# Markov Random Field Model-Based Salt and Pepper Noise Removal

20 Sep 2016

After the formulation of the problem as an inpainting problem, graph cuts with $\alpha$-expansion moves are considered for minimization of the energy functional.

# Image Restoration Using Joint Statistical Modeling in Space-Transform Domain

11 May 2014

This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and nonlocal self-similarity of natural images in a unified statistical manner.