Using seven contiguous CT slices as input improves super-resolved image quality and defect detection for additively manufactured parts compared with single-slice 2D networks, at near-2D memory cost.
A comprehensive review of deep learning-based single image super-resolution,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.IV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts
Using seven contiguous CT slices as input improves super-resolved image quality and defect detection for additively manufactured parts compared with single-slice 2D networks, at near-2D memory cost.