Neural Network System for Recognizing Images Affected by Random-Valued Impulse Noise
Images taken with different sensors and transmitted through different channels can be noisy. In such conditions, the image most often suffers from random-valued impulse noise. Denoising an image is an important part of image preprocessing before recognition by a neural network. The accuracy of image...
Сохранить в:
Главные авторы: | Orazaev, A. R., Оразаев, А. Р., Lyakhov, P. A., Ляхов, П. А., Baboshina, V. A., Бабошина, В. А., Kalita, D. I., Калита, Д. И. |
---|---|
Format: | Статья |
Sprog: | English |
Udgivet: |
2023
|
Fag: | |
Online adgang: | https://dspace.ncfu.ru/handle/20.500.12258/23497 |
Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|
Lignende værker
-
Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images
af: Lyakhov, P. A., и др.
Udgivet: (2022) -
New method for detecting and removing random-valued impulse noise from images
af: Lyakhov, P. A., и др.
Udgivet: (2023) -
Two methods of adaptive median filtering of impulse noise in images
af: Chervyakov, N. I., и др.
Udgivet: (2018) -
A new method of cleaning video from impulse noise
af: Chervyakov, N. I., и др.
Udgivet: (2020) -
Efficiency analysis of the image impulse noise cleaning using median filters with weighted central element
af: Chervyakov, N. I., и др.
Udgivet: (2018)