A robust method for tomographic image reconstruction from limited-angle noisy measurements is proposed which builds upon a combination of regularization ...
A robust method for tomographic image reconstruction from limited-angle noisy measurements is proposed which builds upon a combination of regularization theory ...
A robust method for tomographic image reconstruction from limited-angle noisy measurements is proposed which builds upon a combination of regularization ...
A robust method for tomographic image reconstruction from limited-angle noisy measurements is proposed which builds upon a combination of regularization ...
... robust and is the most common choice for NNFs‐based regularizations. The NLM‐based regularization in Eq. (48) has been applied for image reconstruction of ...
Candes, J. Romberg, and T. Tao, “Robust uncertainty principles: exact signal reconstruction from highly in- complete frequency information,” Information Theory ...
Convex projections algorithm for restoration of limited-angle chromotomographic images ... (robust matrix inversion), computation of the object do- main ...
Cluster analysis via projection onto convex sets | Request PDF
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Oct 22, 2024 · Robust regularized tomographic imaging with convex projections. Conference Paper. Full-text available. Oct 2005. Farzad Kamalabadi ...
Watershed, a more robust region-based segmentation method, comes from the geological idea of valleys and ridges identification, which are related to the gray ...
We have a tomographic data from 15 projections spanning from 0 to 2π. ... Karl, “Fast and robust discrete computational imaging,” Electronic Imaging, vol.