By Otmar Scherzer,Markus Grasmair,Harald Grossauer,Markus Haltmeier,Frank Lenzen
ISBN-10: 0387309314
ISBN-13: 9780387309316
ISBN-10: 1441921664
ISBN-13: 9781441921666
Key beneficial properties: (1) Introduces variational equipment with motivation from the deterministic, geometric, and stochastic perspective. (2) Bridges the space among regularization idea in picture research and in inverse difficulties. (3) offers case examples in imaging to demonstrate using variational tools e.g. denoising, thermoacoustics, automated tomography. (4) Discusses hyperlink among non-convex calculus of adaptations, morphological research, and point set equipment. (5) Analyses variational tools containing classical research of variational tools, smooth research similar to G-norm houses, and non-convex calculus of adaptations. (6) makes use of numerical examples to augment the theory.
This e-book is geared in the direction of graduate scholars and researchers in utilized arithmetic. it could actually function a major textual content for graduate classes in photo processing and inverse difficulties or as a supplemental textual content for classes on regularization. Researchers and machine scientists within the sector of imaging technological know-how also will locate this ebook useful.
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Variational Methods in Imaging: 167 (Applied Mathematical Sciences) by Otmar Scherzer,Markus Grasmair,Harald Grossauer,Markus Haltmeier,Frank Lenzen
by Christopher
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