| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10481441 | Physica A: Statistical Mechanics and its Applications | 2012 | 5 Pages |
Abstract
⺠We use the Curvelet Transform to construct a filter for coherent noise in 2D. ⺠Our approach allows for data separation in angular, scale and position domains. ⺠This method is effective at finding noise sparsely distributed in angular domains. ⺠This curvelet filter is more efficient than the ones based on Wavelet Transform.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
M.S. Oliveira, M.V.C. Henriques, F.E.A. Leite, G. Corso, L.S. Lucena,