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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rudin, L.I. Osher, S. |
| Copyright Year | 1994 |
| Description | Author affiliation: Cognitech Inc., Santa Monica, CA, USA (Rudin, L.I.; Osher, S.) |
| Abstract | A new total variation based approach was developed by Rudin, Osher and Fatemi (see Physica D., vol.60, p.259, 1992) to overcome the basic limitations of all smooth regularization algorithms. The TV-based technique use the L/sup 1/ norm of the magnitude of a gradient, thus making discontinuous and nonsmooth solutions possible. In TV image restoration, the solution is obtained by solving a time-dependent, nonlinear PDE on a manifold that satisfies the degradation constraints. In practical applications, one assumes a space-varying blurring kernel and signal-dependent (e.g. multiplicative) noise. The evolution part of the TV-based PDE turned out to be related to the curve shortening equation, but scaled by an inverse. |
| Starting Page | 31 |
| Ending Page | 35 |
| File Size | 513090 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818669527 |
| DOI | 10.1109/ICIP.1994.413269 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-11-13 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image restoration Level set TV Degradation Smoothing methods Nonlinear distortion Kernel Nonlinear equations Signal restoration Linearity |
| Content Type | Text |
| Resource Type | Article |
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