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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Barcelos, C.A.Z. Batista, M.A. |
| Copyright Year | 2003 |
| Description | Author affiliation: Univ. Fed. de Uberlandia, Brazil (Barcelos, C.A.Z.; Batista, M.A.) |
| Abstract | A new approach is presented for recovering shapes from noisy and damaged images as well as the filling in of missing information or the removal of objects from an image. The procedure allows for the denoising and inpainting of images simultaneously. The denoising is performed by the smoothing equation working inside and outside of the inpainting domain but in completely different ways. Inside the inpainting domain the smoothing is carried out by the mean curvature flow, while the smoothing of the outside of the inpainting domain is carried out in a way to encourage smoothing within a region and discourage smoothing across boundaries. Besides smoothing, the approach here presented permits the transportation of available information from the outside towards the inside of the inpainting domain. This combination permits the simultaneous use of filling-in and differentiated smoothing of different regions of an image. The experimental results show the effective performance of the combination of these two procedures in image restoration. |
| Sponsorship | Brazilian Comput. Soc. (SBC) Univ. Sao Paulo (Pro-Reitoria de CCultura e Extensao Univ) Brazilian Nat. Res. Council (CNPq) Brazilian Commission for Higher Educ (CAPES) State of Sao Paulo Res. Found. (FAPESP) |
| Starting Page | 287 |
| Ending Page | 293 |
| File Size | 501568 |
| Page Count | 7 |
| File Format | |
| ISBN | 0769520324 |
| ISSN | 15301834 |
| DOI | 10.1109/SIBGRA.2003.1241021 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-10-12 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise reduction Partial differential equations Smoothing methods Image restoration Shape Noise shaping Filling Differential equations Transportation Image processing |
| Content Type | Text |
| Resource Type | Article |
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