| KEYWORD |
Area Engineering
Lidar-guided low-light image restoration
keywords COMPUTER VISION, DEEP LEARNING
Reference persons ENRICO MAGLI, DIEGO VALSESIA
Research Groups Image Processing Lab (IPL)
Thesis type RESEARCH
Description 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.
Required skills Image processing, deep learning
Deadline 22/11/2024
PROPONI LA TUA CANDIDATURA