Robust RGB-Guided Super-Resolution of Hyperspectral Images via $\text{TV}^{3}$ Minimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3159149
Abstract: We consider the problem of increasing the resolution of a hyperspectral image (HSI) with the aid of a high-resolution RGB image of the same scene. The current state-of-the-art algorithms for this task are based on… read more here.
Keywords: rgb image; resolution; resolution hyperspectral; super resolution ... See more keywords
Super-Resolution Hyperspectral Reconstruction With Majorization-Minimization Algorithm and Low-Rank Approximation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2022.3161849
Abstract: Hyperspectral imaging (HSI) has become an invaluable imaging tool for many applications in astrophysics or Earth observation. Unfortunately, direct observation of hyperspectral images is impossible since the actual measurements are 2-D and suffer from strong… read more here.
Keywords: rank approximation; resolution hyperspectral; low rank; resolution ... See more keywords
Dual camera snapshot high-resolution-hyperspectral imaging system with parallel joint optimization via physics-informed learning.
Sign Up to like & getrecommendations! Published in 2023 at "Optics express"
DOI: 10.1364/oe.487253
Abstract: The hardware architecture of the coded aperture snapshot spectral imaging (CASSI) system is based on a coded mask design, resulting in a poor spatial resolution of the system. Therefore, we consider the use of a… read more here.
Keywords: system; physics; joint optimization; resolution hyperspectral ... See more keywords