Package: wnpp Severity: wishlist Owner: Jerome Kieffer <[email protected]>
Package name : pyhst Version : 2.0. Upstream Author : Alessandro Mirone <[email protected]> URL : https://forge.epn-campus.eu/projects/pyhst2 License : GPL Programming Lang: C, Python, CUDA Description : High Speed Tomographic reconstruction controled from Python The PyHST2 code is in service at ESRF for phase-contrast and absorption tomography. This code has been engineered to sustain the high data flow typical of the third generation synchrotron facilities by adopting a distributed and pipelined architecture. The code implements, beside a default filtered backprojection reconstruction, iterative reconstruction techniques with a-priori knowledge. These latter are used to improve the reconstruction quality or in order to reduce the required data volume and reach a given quality goal. The implemented a-priori knowledge techniques are based on the total variation penalisation and a new recently found convex functional which is based on overlapping patches. -- To UNSUBSCRIBE, email to [email protected] with a subject of "unsubscribe". Trouble? Contact [email protected]
