Boxiao ma (8 risultati)

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many problems in imaging need to be guided with effective priors or reg- ularizations for different reasons. A great variety of regularizations have been proposed that have substantially improved computational imaging and driven the area to a whole new level. The most famous and widely applied among them is L1-regularization and its variations, including total variation (TV) regularization in particular.This thesis presents an alternative class of regularizations for imaging using normal priors with unknown variance (NUV), which produce sharp edges and few staircase artifacts. While many regularizations (includ- ing TV) prefer piecewise constant images, which leads to staricasing, the smoothed-NUV (SNUV) priors have a convex-concave structure and thus prefer piecewise smooth images. We argue that 'piecewise smooth' is a more realistic assumption compared to 'piecewise constant' and is crucial for good imaging results.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnBoxiao Ma was born in Wuhe, Anhui, China in 1994. He graduated from Bengbu No. 2 High School, China in 2009 and subse- quently joined the Chien-Shiung Wu College, Southeast University (SEU). He studied electrical engineeri. …

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many problems in imaging need to be guided with effective priors or reg- ularizations for different reasons. A great variety of regularizations have been proposed that have substantially improved computational imaging and driven the area to a whole new level. The most famous and widely applied among them is L1-regularization and its variations, including total variation (TV) regularization in particular.This thesis presents an alternative class of regularizations for imaging using normal priors with unknown variance (NUV), which produce sharp edges and few staircase artifacts. While many regularizations (includ- ing TV) prefer piecewise constant images, which leads to staricasing, the smoothed-NUV (SNUV) priors have a convex-concave structure and thus prefer piecewise smooth images. We argue that 'piecewise smooth' is a more realistic assumption compared to 'piecewise constant' and is crucial for good imaging results.Books on Demand GmbH, Überseering 33, 22297 Hamburg 178 pp. Englisch.…

Taschenbuch. Condizione: Neu. Smoothed-NUV Priors for Imaging and Beyond | Boxiao Ma | Taschenbuch | Series in Signal and Information Processing | Kartoniert / Broschiert | Englisch | 2022 | Hartung-Gorre | EAN 9783866287464 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…