Compressive spectral image fusion via a single aperture high throughput imaging system.

ABSTRACT: Spectral image fusion techniques combine the detailed spatial information of a multispectral (MS) image and the rich spectral information of a hyperspectral (HS) image into a high-spatial and high-spectral resolution image. Due to the data deluge entailed by such images, new imaging modalities have exploited their intrinsic correlations in such a way that, a computational algorithm can fuse them from few multiplexed linear projections. The latter has been coined compressive spectral image fusion. State-of-the-art research work have focused mainly on the algorithmic part, simulating instrumentation characteristics and assuming independently registered sensors to conduct compressed MS and HS imaging. In this manuscript, we report on the construction of a unified computational imaging framewo

SUBMITTER: Rueda-Chacon H 

PROVIDER: S-EPMC8119686 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature