Super-resolution image reconstruction from sparsity regularization and deep residual-learned priors.
Journal of X-ray science and technology（2023）
Abstract
Both simulation and real data experiments prove that the proposed new CT super-resolution method using deep learning priors can reconstruct CT images with lower noise and better detail recovery. This method is flexible, effective and extensive for low-resolution CT image super-resolution.
MoreTranslated text
Key words
CT,deep learning prior,image reconstruction,plug-and-play. alternating direction method of multipliers,sparsity regularization,super-resolution
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined