S
Stanley Osher
Researcher at University of California, Los Angeles
Publications - 549
Citations - 112414
Stanley Osher is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Level set method & Computer science. The author has an hindex of 114, co-authored 510 publications receiving 104028 citations. Previous affiliations of Stanley Osher include University of Minnesota & University of Innsbruck.
Papers
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Journal ArticleDOI
Regular Article: A PDE-Based Fast Local Level Set Method
TL;DR: A fast method to localize thelevel set method of Osher and Sethian and address two important issues that are intrinsic to the level set method, which reduces the computational effort by one order of magnitude, works in as much generality as the original one, and is conceptually simple and easy to implement.
Journal ArticleDOI
Uniformly high-order accurate nonoscillatory schemes
Ami Harten,Stanley Osher +1 more
TL;DR: A uniformly second-order approximation of hyperbolic conservation laws is constructed, which is nonoscillatory in the sense that the number of extrema of the discrete solution is not increasing in time.
Journal ArticleDOI
Simultaneous structure and texture image inpainting
TL;DR: The novel contribution of this paper is the combination of these three previously developed components, image decomposition with inpainting and texture synthesis, which permits the simultaneous use of filling-in algorithms that are suited for different image characteristics.
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Fast Global Minimization of the Active Contour/Snake Model
TL;DR: This paper proposes to unify three well-known image variational models, namely the snake model, the Rudin–Osher–Fatemi denoising model and the Mumford–Shah segmentation model, and establishes theorems with proofs to determine a global minimum of the active contour model.
Book
"Geometric Level Set Methods in Imaging, Vision, and Graphics"
Stanley Osher,Nikos Paragios +1 more
TL;DR: This book discusses methods for preserving geometric deformable models for brain reconstruction, as well as methods for implicit active contour models, and some of the methods used in this book were adapted for this purpose.