Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2411.07578 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866913576516583424 |
|---|---|
| author | Gilles, Jerome Dagobert, Tristan De Franchis, Carlo |
| author_facet | Gilles, Jerome Dagobert, Tristan De Franchis, Carlo |
| contents | A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence. Two new algorithms are presented based on two combinations of a blind deconvolution block, an elastic registration block and a temporal filter block. The algorithms are tested on real images acquired in the desert in New Mexico by the NATO RTG40 group. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_07578 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Atmospheric turbulence restoration by diffeomorphic image registration and blind deconvolution Gilles, Jerome Dagobert, Tristan De Franchis, Carlo Computer Vision and Pattern Recognition A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence. Two new algorithms are presented based on two combinations of a blind deconvolution block, an elastic registration block and a temporal filter block. The algorithms are tested on real images acquired in the desert in New Mexico by the NATO RTG40 group. |
| title | Atmospheric turbulence restoration by diffeomorphic image registration and blind deconvolution |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.07578 |