Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single
system and has gained widespread acceptance as a non-destructive scientific instrument for …

Snapshot polarization imaging has gained interest in the last few decades. Recent research
and technology achievements defined the polarization Filter Array (PFA). It is dedicated to …

This paper examines the problem of illumination spectra estimation in multispectral images.
We cast the problem into a constrained matrix factorization problem and present a method …

This paper presents a complete framework for capturing and processing hyperspectral
reflectance images of artworks in situ, using a hyperspectral line scanner. These capturing …

Multispectral imaging is a technique that captures data across several bands of the light
spectrum, and it can be useful in many computer vision fields, including color constancy. We …

This paper introduces a novel framework for estimating the spectral power distribution of
daylight illuminants in uncalibrated hyperspectral images, particularly beneficial for drone …

Multispectral constancy enables the illuminant invariant representation of multi-spectral
data. This article proposes an experimental investigation of multispectral constancy through …

This paper proposes to utilize deep spatio-spectral features for color constancy, while most
conventional methods focus on only spatial information of RGB images. We propose a novel …

We introduce a method that enhances RGB color constancy accuracy by combining neural
network and k-means clustering techniques. Our approach stands out from previous works …

The variety of spectral imaging systems makes the portability of imaging solutions and the
generalization of research difficult. We advocate for the creation of a standard representation …