This paper reviews the third biennial challenge on spectral reconstruction from RGB images,
ie, the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB …

Spectral super-resolution (sSR) is a very important technique to obtain hyperspectral images
from only RGB images, which can effectively overcome the high acquisition cost and low …

Existing leading methods for spectral reconstruction (SR) focus on designing deeper or
wider convolutional neural networks (CNNs) to learn the end-to-end mapping from the RGB …

Hyperspectral imaging is an important visual modality with growing interest and range of
applications. The latter, however, is hindered by the fact that existing devices are limited in …

This paper reviews the second challenge on spectral reconstruction from RGB images, ie,
the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image …

Hyperspectral images provide higher spectral resolution than typical RGB images by
including per-pixel irradiance measurements in a number of narrow bands of wavelength in …

This paper proposes a novel compressive hyperspectral (HS) imaging approach that allows
for high-resolution HS images to be captured in a single image. The proposed architecture …

Capturing visual image with a hyperspectral camera has been successfully applied to many
areas due to its narrow-band imaging technology. Hyperspectral reconstruction from RGB …

Hyperspectral images (HSIs) are crucial for many research works. Spectral super-resolution
(SSR) is a method used to obtain high-spatial-resolution (HR) HSIs from HR multispectral …

Information multiplexing is important for biomedical imaging and chemical sensing. In this
paper, we report a microscopy imaging technique, termed state-multiplexed Fourier …