We present an efficient method for the reconstruction of multispectral information from RGB
images, as part of the NTIRE 2022 Spectral Reconstruction Challenge. Given an input …

Significance Current methods of producing optical phantoms are incapable of accurately
capturing the wavelength-dependent properties of tissue critical for many optical modalities …

Classifying grapevine varieties is crucial in precision viticulture, as it allows for accurate
estimation of vineyard row growth for different varieties and ensures authenticity in the wine …

Significance Hyperspectral imaging sensors have rapidly advanced, aiding in tumor
diagnostics for in vivo brain tumors. Linescan cameras effectively distinguish between …

This paper proposes a learnable metric to measure the reconstruction quality of
hyperspectral images obtained by computational hyperspectral imaging. Computational …

Multi-spectral and hyper-spectral imaging usually requires scanning in the spatial or spectral
dimensions and thus the temporal resolution is often compromised. Although various …

New tools for modelling sensor data Page 1 New tools for modelling sensor data Alfonso López
Ruiz A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor …

Hyperspectral imaging has been increasingly used for non-destructive analysis of historical
documents. Spectral reflectance data allow material identification and mapping using a …

The classification of different grapevine varieties is a relevant phenotyping task in Precision
Viticulture since it enables estimating the growth of vineyard rows dedicated to different …

Использование спектральных данных имеет место в различных областях
деятельности, требующих точной оценки света и цвета в снимаемой сцене. Среди …