Feature Value Estimation Using Multiband Image Spectral Reconstruction

The patent creates a computational model that copies the spectral analysis function from expensive physical spectrometers into software algorithms. The multiband image data is processed through spectral estimation parameters and calibration parameters to reconstruct optical spectra, effectively creating a virtual spectroscope that replicates the measurement capabilities without the high hardware costs.

The patent replaces the mechanical/optical system of a physical spectroscope with an information processing system. Instead of using complex optical components to disperse and measure light spectra, the system uses digital image processing, matrix operations, and computational algorithms to extract spectral information from multiband images, substituting mechanical measurement with information-based analysis.

The patent employs inexpensive multiband cameras and standard image processing equipment instead of expensive, precision-manufactured spectrometers. The system uses readily available components with shorter lifecycles and lower manufacturing costs, achieving comparable measurement precision through computational methods rather than expensive hardware.

The patent changes the approach from measuring physical light parameters directly with expensive optical instruments to deriving spectral parameters computationally from multiband image data. By transforming the measurement paradigm from direct physical measurement to indirect computational derivation, the system achieves high precision with lower-cost equipment.