Deep convolutional neural network for mixed random impulse and Gaussian noise reduction in digital images

Deep convolutional neural network for mixed random impulse and Gaussian noise reduction in digital images Article

cited authors

Mafi, Mehdi; Izquierdo, Walter; Martin, Harold; Cabrerizo, Mercedes; Adjouadi, Malek

fiu authors

publication date

December 15, 2020

webpage

Web of Science

published in

IET IMAGE PROCESSING Journal

author keyword

20-layer network Author Keyword
CNN-based approach Author Keyword
Convolutional Neural Network Author Keyword
Gaussian noise Author Keyword
Gaussian noise reduction Author Keyword
Image classification Author Keyword
additional 12 images Author Keyword
batch normalisation Author Keyword
convolution Author Keyword
deep CNN Author Keyword
different structural metrics Author Keyword
digital images Author Keyword
filtering theory Author Keyword
image denoising Author Keyword
image segmentation Author Keyword
known noise mixtures Author Keyword
learning (artificial intelligence) Author Keyword
minimal loss Author Keyword
mixed impulse Author Keyword
mixed random impulse Author Keyword
neural nets Author Keyword
optimal denoising results Author Keyword
optimal estimation Author Keyword
unknown noise mixtures Author Keyword

category

IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Web of Science Category

Digital Object Identifier (DOI)

https://doi.org/10.1049/iet-ipr.2019.0931

start page

3791

end page

3801

volume

14

issue

15