| Autor: |
Capece, Nicola, Banterle, Francesco, Cignoni, Paolo, Ganovelli, Fabio, Scopigno, Roberto, Erra, Ugo |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Elsevier Image Communication, Volume 77, September 2019, Pages 28-39 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1016/j.image.2019.05.013 |
| Popis: |
We present a method for turning a flash selfie taken with a smartphone into a photograph as if it was taken in a studio setting with uniform lighting. Our method uses a convolutional neural network trained on a set of pairs of photographs acquired in an ad-hoc acquisition campaign. Each pair consists of one photograph of a subject's face taken with the camera flash enabled and another one of the same subject in the same pose illuminated using a photographic studio-lighting setup. We show how our method can amend defects introduced by a close-up camera flash, such as specular highlights, shadows, skin shine, and flattened images. |
| Databáze: |
arXiv |
| Externí odkaz: |
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