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Salt-And-Pepper Noise Removal

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 )

Papers

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Showing 1–13 of 13 papers

TitleStatusHype
Noise2Noise: Learning Image Restoration without Clean DataCode1
A Greedy Approach to _0, Based Convolutional Sparse Coding—0
A Nonlinear Acceleration Method for Iterative Algorithms—0
A Two-stage Method for Non-extreme Value Salt-and-Pepper Noise Removal—0
Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization—0
Deep Boosting for Image Denoising—0
Dual Reweighted Lp-Norm Minimization for Salt-and-pepper Noise Removal—0
Image Restoration Using Joint Statistical Modeling in Space-Transform Domain—0
Markov Random Field Model-Based Salt and Pepper Noise Removal—0
Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper ContaminationsCode0
Adaptive Weight Modified Riesz Mean Filter For High-Density Salt and Pepper Noise RemovalCode0
NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise RemovalCode0
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocksCode0
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