Split Bregman methods for L1-Regularized Problems with Applications to Image Processing
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Thu, 04/03/2010 14:00 |
Mr. Thomas Goldstein (University of California, Los Angeles) |
Computational Mathematics and Applications  |
3WS SR |
| This talk will introduce L1-regularized optimization problems that arise in image processing, and numerical methods for their solution. In particular, we will focus on methods of the split-Bregman type, which very efficiently solve large scale problems without regularization or time stepping. Applications include image denoising, segmentation, non-local filters, and compressed sensing. | |||