The first mobile camera phone was sold only 20 years ago, when taking pictures with one's
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …

Hyperspectral imaging enables many versatile applications for its competence in capturing
abundant spatial and spectral information, which is crucial for identifying substances …

Underwater images suffer from color distortion and low contrast, because light is attenuated
while it propagates through water. Attenuation under water varies with wavelength, unlike …

Multispectral and hyperspectral image fusion (MS/HS fusion) aims to fuse a high-resolution
multispectral (HrMS) and a low-resolution hyperspectral (LrHS) images to generate a high …

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 …

Robust recovery of lost colors in underwater images remains a challenging problem. We
recently showed that this was partly due to the prevalent use of an atmospheric image …

Underwater images suffer from color distortion and low contrast, because light is attenuated
as it propagates through water. The attenuation varies with wavelength and depends both …

Underwater image reconstruction methods require the knowledge of wideband attenuation
coefficients per color channel. Current estimation methods for these coefficients require …

This paper focuses on a training-based method to reconstruct a scene's spectral reflectance
from a single RGB image captured by a camera with known spectral response. In particular …

Existing multispectral imagers mostly use available array sensors to separately measure 2D
data slices in a 3D spatial-spectral data cube. Thus they suffer from low photon efficiency …