Photographic Heritage Restoration Through Deep Neural Networks

Photographic Heritage Restoration Through Deep Neural Networks

Michaël Tits, Mohamed Boukhebouze and Christophe Ponsard: Photographic Heritage Restoration Through Deep Neural Networks, ERCIM News 123,October 2020 Special theme: Blue Growth

Date: 6 October 2020

Publication: Scientific communication 

Domaine: Digital Society 

Innovation theme: Artificial Intelligences 

About project: DigiMIR-CETIC 

As part of the DigiMIR project , CETIC and Numediart have collaborated to select, test and compare recent deep learning techniques, with the aim of developing a generic and innovative image restoration tool going beyond prototypes proposed in the scientific literature.

ERCIM News 123

View online : https://ercim-news.ercim.eu/en123/r...