Image Denoising With Generative Adversarial Networks and its Application to Cell Image Enhancement

Image Denoising With Generative Adversarial Networks and its Application to Cell Image Enhancement

This paper proposes an image denoising training framework based on Wasserstein Generative Adversarial Networks (WGAN) and applies it to cell image denoising. Cell image denoising is a challenging task which has high requirement on the recovery of feature details. Current popular convolutional neural...

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Bibliographic Details
Main Authors: Songkui Chen, Daming Shi, Muhammad Sadiq, Xiaochun Cheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image denoising
cell image denoising
blurriness issue
adversarial learning
Wasserstein generative adversarial networks
Online Access:https://ieeexplore.ieee.org/document/9069260/

Internet

https://ieeexplore.ieee.org/document/9069260/

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