A Masked-Pre-Training-Based Fast Deep Image Prior Denoising Model

A Masked-Pre-Training-Based Fast Deep Image Prior Denoising Model

Compared to supervised denoising models based on deep learning, the unsupervised Deep Image Prior (DIP) denoising approach offers greater flexibility and practicality by operating solely with the given noisy image. However, the random initialization of network input and network parameters in the DIP...

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Bibliographic Details
Main Authors: Shuichen Ji, Shaoping Xu, Qiangqiang Cheng, Nan Xiao, Changfei Zhou, Minghai Xiong
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Applied Sciences
Subjects:
deep
image prior
execution efficiency
masked pre-training
network parameter initialization
iterative convergence rate
Online Access:https://www.mdpi.com/2076-3417/14/12/5125

Internet

https://www.mdpi.com/2076-3417/14/12/5125

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