MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention

MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention

Medical image acquisition devices are susceptible to producing blurry images due to respiratory and patient movement. Despite having a notable impact on such blind-motion deblurring, medical image deblurring is still underexposed. This study proposes an end-to-end scale-recurrent deep network to lea...

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Bibliographic Details
Main Authors: S. M. A. Sharif, Rizwan Ali Naqvi, Zahid Mehmood, Jamil Hussain, Ahsan Ali, Seung-Won Lee
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Mathematics
Subjects:
medical image deblurring
dense residual spatial-asymmetric attention
scale-recurrent network
residual learning
deep learning
Online Access:https://www.mdpi.com/2227-7390/11/1/115

Internet

https://www.mdpi.com/2227-7390/11/1/115

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