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

Our visual perception of the world—seeing form and colour or navigating the environment—
depends on the interaction of light and matter in the environment. Light also has a more …

Computational Colour Science Using MATLAB 2nd Edition offers a practical, problem-based
approach to colour physics. The book focuses on the key issues encountered in modern …

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 …

ZnO (pristine) and Al doped ZnO (AZO) films were prepared using sol-gel spin coating
method. The XRD analysis showed the enhanced compressive stress in AZO film. The …

The weighted principal component analysis technique is employed for reconstruction of
reflectance spectra of surface colors from the related tristimulus values. A dynamic …

We investigate methods for the recovery of reflectance spectra from the responses of
trichromatic camera systems and the application of these methods to the problem of camera …

With the advancement in sensor technology, the use of multispectral imaging is gaining wide
popularity for computer vision applications. Multispectral imaging is used to achieve better …

Spectral super-resolution has attracted the attention of more researchers for obtaining
hyperspectral images (HSIs) in a simpler and cheaper way. Although many convolutional …

Many spectral‐recovery methods using RGB digital cameras assume the underlying
smoothness of illuminant and reflectance spectra, and apply low‐dimensional linear models …