A Spectral Restoration Method Based on Difference Matrix
The single-lens imaging technology is developed based on computation imaging techniques,utilizing an optical system composed of a single-lens to replace traditional complex optical systems.This approach employs algorithms in the backend to process the images instead of optical processing in the frontend.Not only does it simplify the complexity of optical systems,but it also enables the acquisition of images that meet specific requirements.Currently,there is relatively limited research on single-lens imaging technology in the field of imaging spectra both domestically and internationally.Therefore,conducting research on charting information acquisition based on single-lens imaging technology holds signifi-cant research value.A spectral restoration method based on the difference matrix is proposed for the aliased spectral data of the single-lens imaging spectrometer.When only the spectral information is considered,it is only necessary to collect the data on the axis,and then calculate the difference efficient according to the intensity information of different wave-lengths at different positions to build the different matrix.The least square method is used for the final solution to realize the restoration of the spectrum.Through simulation and experimental verification,the quality evaluation is carried out by using SCC and SMSE,and the correctness of the above method is verified feasibility.
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