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https://hdl.handle.net/10216/111681| Author(s): | Ugo V. Boscain Roman Chertovskih Jean-Paul Gauthier Dario Prandi Alexey Remizov |
| Title: | Highly Corrupted Image Inpainting Through Hypoelliptic Diffusion |
| Issue Date: | 2018 |
| Abstract: | We present a new biomimetic image inpainting algorithm, the Averaging and Hypoelliptic Evolution (AHE) algorithm, inspired by the one presented in Boscain et al. (SIAM J. Imaging Sci. 7(2):669-695, 2014) and based upon a semi-discrete variation of the Citti-Petitot-Sarti model of the primary visual cortex V1. The AHE algorithm is based on a suitable combination of sub-Riemannian hypoelliptic diffusion and ad hoc local averaging techniques. In particular, we focus on highly corrupted images (i.e., where more than the 80% of the image is missing), for which we obtain high-quality reconstructions. |
| DOI: | 10.1007/s10851-018-0810-4 |
| URI: | https://hdl.handle.net/10216/111681 |
| Document Type: | Artigo em Revista Científica Internacional |
| Rights: | openAccess |
| Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 262445.pdf | 4.54 MB | Adobe PDF |  View/Open |
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