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 …

Defect segmentation of apples is an important task in the agriculture industry for quality
control and food safety. In this paper, we propose a deep learning approach for the …

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 …

Achieving accurate material segmentation for 3-channel RGB images is challenging due to
the considerable variation in a material's appearance. Hyperspectral images, which are sets …

Owing to the efficiency in terms of the modeling of long-range dependencies, transformer-
based spectral reconstruction methods have produced satisfactory hyperspectral (HS) …

This paper presents a novel approach for spectral illuminant correction in smartphone
imaging systems, aiming to improve color accuracy and enhance image quality. The …

When it comes to visual perception, there are notable differences between the ways in which
humans and machines interpret and understand images. Unlike image acquisition systems …