Limitations of Data-Driven Spectral Reconstruction -- Optics-Aware Analysis and Mitigation

arXiv:2401.03835v2 Announce Type: replace
Abstract: Hyperspectral imaging empowers machine vision systems with the distinct capability of identifying materials through recording their spectral signatures. Recent efforts in data-driven spectral reconstruction aim at extracting spectral information from RGB images captured by cost-effective RGB cameras, instead of dedicated hardware.
In this paper we systematically analyze the performance of such methods, evaluating both the practical limitations with respect to current datasets and overfitting, as well as fundamental limitations with respect to the nature of …

abstract aim analysis arxiv cameras capability cost cs.cv data data-driven eess.iv hardware images imaging information limitations machine machine vision materials optics paper recording systems through type vision