Learning to see in the dark

• Main Author: Chen, Sihao
• Other Authors: Chen Change Loy
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/148091
• Institution: Nanyang Technological University

Low-light image enhancement aims to improve the visibility of images taken in low-light or nighttime conditions. Currently, most deep models are trained using synthetic low-light datasets or manually collected datasets with small sizes, which limits their generalization capability when encounterin...