Spectral super-resolution for real-world applications

• Main Author: Luo, Wenjun
• Other Authors: Wen Bihan
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Engineering; Spectral super-resolution; Deep learning; Attention mechanism
• Online Access: https://hdl.handle.net/10356/183091
• Institution: Nanyang Technological University

Spectral super-resolution (SSR) aims to recover hyperspectral (HS) information of the scene from RGB images, which is important for the downstream tasks in various fields, including medical imaging, remote sensing and food science. However, existing methods failed to consider the physical imaging pr...