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| Content Provider | Springer Nature Link |
|---|---|
| Author | Longo, Kate Guidotti, Patrick |
| Copyright Year | 2011 |
| Abstract | A number of image denoising models based on higher order parabolic partial differential equations (PDEs) have been proposed in an effort to overcome some of the problems attendant to second order methods such as the famous Perona–Malik model. However, there is little analysis of these equations to be found in the literature. In this paper, methods of maximal regularity are used to prove the existence of unique local solutions to a class of fourth order PDEs for noise removal. The proof is laid out explicitly for two newly proposed fourth order models, and an outline is given for how to apply the techniques to other proposed models. |
| Ending Page | 425 |
| Page Count | 19 |
| Starting Page | 407 |
| File Format | |
| ISSN | 10219722 |
| e-ISSN | 14209004 |
| Journal | Nonlinear Differential Equations and Applications NoDEA |
| Issue Number | 4 |
| Volume Number | 18 |
| Language | English |
| Publisher | SP Birkhäuser Verlag Basel |
| Publisher Date | 2011-02-01 |
| Publisher Place | Basel |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Local existence Initial-boundary value problems for higher-order parabolic equations Nonlinear diffusions PDEs in connection with computer science Quasilinear parabolic equations Degenerate parabolic equations Analysis Fourth order Fractional derivatives Image processing noise removal Well-posedness |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Analysis |
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