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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Váldodahkkit: Shuichen Ji, Shaoping Xu, Qiangqiang Cheng, Nan Xiao, Changfei Zhou, Minghai Xiong
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2024-06-01
Ráidu:Applied Sciences
Fáttát:
deep
image prior
execution efficiency
masked pre-training
network parameter initialization
iterative convergence rate
Liŋkkat:https://www.mdpi.com/2076-3417/14/12/5125

Interneahtta

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

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