| KEYWORD |
Area Ingegneria
Lidar-guided low-light image restoration
Parole chiave COMPUTER VISION, DEEP LEARNING
Riferimenti ENRICO MAGLI, DIEGO VALSESIA
Gruppi di ricerca Image Processing Lab (IPL)
Tipo tesi RESEARCH
Descrizione The thesis seeks to investigate the use of Lidar data as acquired by smartphones such as the latest iPhone for restoration of images acquired under low-light settings. The activity seeks to collect a new dataset of paired RGB images and depth information using iPhones and DSLR cameras and analyse the performance of deep learning methods on the acquired data.
Conoscenze richieste Image processing, deep learning
Scadenza validita proposta 22/11/2024
PROPONI LA TUA CANDIDATURA