Salt-And-Pepper Noise Removal
6개 벤치마크 · 논문 13편 · 이 태스크의 논문 보기 →
Benchmarks
BSD300 Noise Level 30%
BSD300 Noise Level 50%
BSD300 Noise Level 70%
Kodak24 Noise Level 30%
Kodak24 Noise Level 50%
Kodak24 Noise Level 70%
Most implemented
Noise2Noise: Learning Image Restoration without Clean Data
Adaptive Weight Modified Riesz Mean Filter For High-Density Salt and Pepper Noise Removal
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal
Papers
Adaptive Weight Modified Riesz Mean Filter For High-Density Salt and Pepper Noise Removal
This paper introduces a novel filter, the Adaptive Weight Modified Riesz Mean Filter (AWMRmF), designed for the effective removal of high-density salt and pepper noise (SPN). AWMRmF integrates a pixel weight function and…
Salt-And-Pepper Noise RemovalSSIMA deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
In recent years, there has been an unprecedented upsurge in applying deep learning approaches, specifically convolutional neural networks (CNNs), to solve image denoising problems, owing to their superior performance. Ho…
DenoisingImage DenoisingSalt-And-Pepper Noise RemovalA Two-stage Method for Non-extreme Value Salt-and-Pepper Noise Removal
There are several previous methods based on neural network can have great performance in denoising salt and pepper noise. However, those methods are based on a hypothesis that the value of salt and pepper noise is exactl…
DenoisingSalt-And-Pepper Noise RemovalSalt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization
Salt and pepper noise removal is a common inverse problem in image processing. Traditional denoising methods have two limitations. First, noise characteristics are often not described accurately. For example, the noise l…
DenoisingSalt-And-Pepper Noise RemovalNAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal
In this paper, a novel algorithm called a non-local adaptive mean filter (NAMF) for removing salt-and-pepper (SAP) noise from corrupted images is presented. We employ an efficient window detector with adaptive size to de…
Salt-And-Pepper Noise RemovalConvolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations
We propose a deep fully convolutional neural network with a new type of layer, named median layer, to restore images contaminated by the salt-and-pepper (s&p) noise. A median layer simply performs median filtering on all…
DenoisingSalt-And-Pepper Noise Removal