The following pages link to (Q5196661):
Displaying 9 items.
- A model of regularization parameter determination in low-dose X-ray CT reconstruction based on dictionary learning (Q307697) (← links)
- A CT reconstruction algorithm based on non-aliasing contourlet transform and compressive sensing (Q2262624) (← links)
- Low-dose spectral CT reconstruction using image gradient \(\ell_0\)-norm and tensor dictionary (Q2306948) (← links)
- Total image constrained diffusion tensor for spectral computed tomography reconstruction (Q2307280) (← links)
- \(L_2\)-\(L_q\) reconstruction model for computational spectrometer (Q2677865) (← links)
- Material reconstruction for spectral computed tomography with detector response function (Q2835431) (← links)
- A framelet-based iterative maximum-likelihood reconstruction algorithm for spectral CT (Q2835458) (← links)
- Spatial-spectral cube matching frame for spectral CT reconstruction (Q4582723) (← links)
- Nonlocal low-rank and sparse matrix decomposition for spectral CT reconstruction (Q4607817) (← links)
