Pages that link to "Item:Q2254757"
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The following pages link to High-order total variation regularization approach for axially symmetric object tomography from a single radiograph (Q2254757):
Displaying 15 items.
- A variational method using fractional order Hilbert spaces for tomographic reconstruction of blurred and noised binary images (Q709288) (← links)
- Shrinking gradient descent algorithms for total variation regularized image denoising (Q1694398) (← links)
- Hybrid regularized cone-beam reconstruction for axially symmetric object tomography (Q2156686) (← links)
- Adaptive image restoration via a relaxed regularization of mean curvature (Q2216999) (← links)
- Truncated fractional-order total variation model for image restoration (Q2278710) (← links)
- Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography and Mixed Variable Optimization (Q3183370) (← links)
- Implementation of high-order variational models made easy for image processing (Q3187864) (← links)
- High-order total variation minimization for interior SPECT (Q3224119) (← links)
- (Q3630253) (← links)
- Stability and error estimates of BV solutions to the Abel inverse problem (Q4582685) (← links)
- Dual algorithm for truncated fractional variation based image denoising (Q5030605) (← links)
- On some variational models and their algorithms for axially symmetric objects tomography from a single X-ray source (Q5063598) (← links)
- Uncertainty Quantification of Density Reconstruction Using MCMC Method in High-Energy X-ray Radiography (Q5162156) (← links)
- Image denoising based on a new anisotropic mean curvature model (Q6042378) (← links)
- Superiorized iteration algorithm for CT image simultaneous reconstruction and segmentation (Q6648731) (← links)
