RCL-Mamba restores images from sparse rotational computed laminography scans via cascaded projection-domain blur correction and image-domain artifact suppression using a Mamba-CNN dual-branch module.
A high efficiency deep learning method for the x-ray image defect detection of casting parts,
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RCL-Mamba: A Dual-domain State Space Model for Measurement-oriented Image Restoration in Rotational Sparse-View Scanning Computed Laminography
RCL-Mamba restores images from sparse rotational computed laminography scans via cascaded projection-domain blur correction and image-domain artifact suppression using a Mamba-CNN dual-branch module.