Learning from Multiple Instances: A Two-Stage Unsupervised Image Denoising Framework Based on Deep Image Prior

Learning from Multiple Instances: A Two-Stage Unsupervised Image Denoising Framework Based on Deep Image Prior

Supervised image denoising methods based on deep neural networks require a large amount of noisy-clean or noisy image pairs for network training. Thus, their performance drops drastically when the given noisy image is significantly different from the training data. Recently, several unsupervised lea...

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Bibliographic Details
Main Authors: Shaoping Xu, Xiaojun Chen, Yiling Tang, Shunliang Jiang, Xiaohui Cheng, Nan Xiao
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
image denoising
deep image prior
two-target learning
multiple instances
unsupervised fusion network
Online Access:https://www.mdpi.com/2076-3417/12/21/10767

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https://www.mdpi.com/2076-3417/12/21/10767

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