DESN: an unsupervised MR image denoising network with deep image prior

DOI10.1016/j.tcs.2021.06.005OpenAlexW3169563988MaRDI QIDQ2043026

Tianxu Lv, Yuan Liu, Yazhou Zhu, Xiang Pan, Li-Hua Li

Publication date: 22 July 2021

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2021.06.005

zbMATH Keywords

deep learningencoder-decoder networkMRI denoisingnovel loss function

Mathematics Subject Classification ID

Theory of computing (68Qxx)

Related Items (1)

Weighted-type image segmentation model via coupling heat kernel convolution with high-order total variation

Uses Software

• Adam

Cites Work

• Decoupled algorithm for MRI reconstruction using nonlocal block matching model: BM3D-MRI
• The curvelet transform for image denoising
• Ideal spatial adaptation by wavelet shrinkage

This page was built for publication: DESN: an unsupervised MR image denoising network with deep image prior