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Image Processing Lab (IPL)

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