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

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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Bibliographic Details
Main Authors: Yoonsik Kim, Jae Woong Soh, Nam Ik Cho
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Denoising
adaptive denoiser
flexible denoiser
convolutional neural network (CNN)
noise level estimation
gate-weight generating network
Online Access:https://ieeexplore.ieee.org/document/8717639/

Internet

https://ieeexplore.ieee.org/document/8717639/

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