The application provides a physical constraint-based illumination adaptive spectral reflectance reconstruction
system, an illumination adaptive spectral reflectance reconstruction framework (I-SRR) based on no known illumination, auxiliary hardware or multiple captures, which can accurately recover intrinsic spectral reflectance of a material from a single
RGB image; a
spectral imaging physical model is embedded into a deep unfolding framework, a differentiable optimization structure is constructed based on an alternating direction
multiplier method (ADMM), a spectral formation and
recovery process is implicitly integrated, a physically guided end-to-end learning is realized through deep unfolding optimization based on physical constraints; the application can realize robust reflectance
recovery under unknown or complex illumination conditions, adaptively adjust features through a learned compensation mechanism, maintain consistent reconstruction accuracy in different color temperatures (4000K-11200K) and indoor and outdoor scenes, and realize robust reconstruction under dynamic illumination conditions.