Colour Fidelity in Spectral Reconstruction from RGB Images
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Oct 22, 2024 · The purpose of this paper is to show, visually and quantitatively, how well (or bad) the existing SR models maintain colour fidelity. Three main ...
The purpose of this paper is to show, visually and quantitatively, how well (or bad) the existing SR models maintain colour fidelity.
The colour signal (i.e. physical radiance) coming from the scene contains spectral information of the light source and object surfaces within visible range, and ...
Spectral reconstruction (SR) aims to recover high resolution spectra from RGB images. Recent developments - leading by Convolutional Neural Networks (CNN) ...
It is shown that the state-of-the-art CNN-based model, despite of the superior performance in spectral recovery, introduces significant colour shifts in the ...
This article explores the modification of information in the case of RGB-to-spectral reconstruction beyond reconstruction metrics.
An investigation on worst‐case spectral reconstruction from RGB images via Radiance Mondrian World assumption ... Colour fidelity in spectral reconstruction from ...
Previous research has demonstrated the potential to reconstruct human facial skin spectra based on the responses of RGB cameras to achieve high-fidelity ...
It was observed that S2HFormer accurately reconstructs the MSI of camouflage nets, grass, shrubs and other targets from RGB images with high fidelity.