Single-Lens Imaging Spectral Restoration Method Based on Gradient Prior Information Optimization

Single-lens imaging systems can capture spectral information, but they are affected by aberrations, defocusing, and other factors, leading to data overlap. It is then necessary perform restoration on overlapped data. The method should not only deblur image also recover information for each wavelength band. In words, the process needs handle both spatial in parallel while ensuring that neither distorted. this study, considering characteristics of capturing a single-lens system, spectrum based gradient prior optimization proposed. This shown achieve high-quality images spectra. feasibility algorithm demonstrated through simulation experimental verification, which show quality spectra using proposed improved compared achieved MTV algorithm.