Adaptively Tuning a Convolutional Neural Network by Gate Process for Image Denoising

The conventional image denoising methods based on the convolutional neural network (CNN) focus on the non-blind training, and hence many networks are required to cope with various noise levels at the test. Although there are blind training methods that deal with multiple noise levels with a single n...

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Detalhes bibliográficos

Principais autores:	Yoonsik Kim, Jae Woong Soh, Nam Ik Cho
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2019-01-01
coleção:	IEEE Access
Assuntos:	Denoising adaptive denoiser flexible denoiser convolutional neural network (CNN) noise level estimation gate-weight generating network
Acesso em linha:	https://ieeexplore.ieee.org/document/8717639/
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