Snapshot learning for color and spectral recovery toward edge deployment
We present per-image learning frameworks for color and spectral recovery that convert conventional RGB images into physically meaningful color and spectral representations through the co-design of hardware and learning models. The central concept is to learn an RGB-to-spectrum or RGB-to-color mapping directly from a sm...