Image inpainting using a neural network
The paper describes a new method of two-dimensional signals reconstruction by restoring static images. A new method of spatial reconstruction of static images based on a geometric model using a neural network is proposed, it is based on the search for similar blocks and copying them into the region...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201713205015 |
| _version_ | 1818934396959326208 |
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| author | Gapon Nikolay Ponamorenko Mikola Pismenskova Marina Tokareva Olga |
| author_facet | Gapon Nikolay Ponamorenko Mikola Pismenskova Marina Tokareva Olga |
| author_sort | Gapon Nikolay |
| collection | DOAJ |
| description | The paper describes a new method of two-dimensional signals reconstruction by restoring static images. A new method of spatial reconstruction of static images based on a geometric model using a neural network is proposed, it is based on the search for similar blocks and copying them into the region of distorted or missing pixel values. |
| first_indexed | 2024-12-20T05:03:37Z |
| format | Article |
| id | doaj.art-d2dfa6158d224d38996613bcfc9dfbf9 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T05:03:37Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-d2dfa6158d224d38996613bcfc9dfbf92022-12-21T19:52:30ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011320501510.1051/matecconf/201713205015matecconf_dts2017_05015Image inpainting using a neural networkGapon NikolayPonamorenko MikolaPismenskova MarinaTokareva OlgaThe paper describes a new method of two-dimensional signals reconstruction by restoring static images. A new method of spatial reconstruction of static images based on a geometric model using a neural network is proposed, it is based on the search for similar blocks and copying them into the region of distorted or missing pixel values.https://doi.org/10.1051/matecconf/201713205015 |
| spellingShingle | Gapon Nikolay Ponamorenko Mikola Pismenskova Marina Tokareva Olga Image inpainting using a neural network MATEC Web of Conferences |
| title | Image inpainting using a neural network |
| title_full | Image inpainting using a neural network |
| title_fullStr | Image inpainting using a neural network |
| title_full_unstemmed | Image inpainting using a neural network |
| title_short | Image inpainting using a neural network |
| title_sort | image inpainting using a neural network |
| url | https://doi.org/10.1051/matecconf/201713205015 |
| work_keys_str_mv | AT gaponnikolay imageinpaintingusinganeuralnetwork AT ponamorenkomikola imageinpaintingusinganeuralnetwork AT pismenskovamarina imageinpaintingusinganeuralnetwork AT tokarevaolga imageinpaintingusinganeuralnetwork |