Research On Color Restoration Technology Based On Imaging Spectrum

Traditional RGB based display technology has only three channels,and its color gamut space is limited.Multispectral imaging technology can obtain spectral information from multiple channels,reduce the impact of homochromatic metamerism on color matching,and expand the range of color gamut space.Through multi-channel spectral data collection,it is possible to record the color characteristics of objects in detail,and then use the reflection spectrum to restore the true color of objects.This effectively solves the problem of incomplete display of color information caused by low accuracy of collected data in traditional methods,so it can achieve high-precision color restoration of objects Firstly,in order to improve the color reproduction of real objects at the display end and reduce the color aberration of the display,this paper carries out the research work of color reproduction technology based on imaging spectrum.A reflection spectrum reconstruction method for objects based on multispectral imaging technology is proposed,which proves the applicability of the method at the display end from both theoretical and experimental perspectives,which can better express the reflection spectral characteristics of objects and improve the color reproduction effect.At the same time,this method increases the number of channels at the display end and uses the quantum particle swarm multispectral reconstruction algorithm to fit the reflection spectrum of the real object surface,which improves the integrity of the display information and achieves the purpose of reconstructing the real reflection spectrum of the object.In order to improve the color restoration of real objects at the display end and reduce the display color difference,this paper has carried out research work on color restoration technology based on imaging spectroscopy.A method for reconstructing the reflection spectrum of an object based on multispectral imaging technology is proposed.The applicability of this method in the display side is proved from both theoretical and experimental perspectives,which can better display the reflection spectrum characteristics of the object and improve the color restoration effect.At the same time,this method improves the integrity of display information by increasing the number of channels at the display end,and uses the quantum particle swarm multispectral reconstruction algorithm to fit the reflection spectrum of the real object surface,achieving the goal of reconstructing the real reflection spectrum of the object.In order to verify the accuracy of this theory,relevant simulation studies were conducted.Under the irradiation of four standard light sources,A,CWF,D65,and HZ,a standard reflection spectrum of 24 color cards was obtained,and the reflection spectrum was reconstructed based on the quantum particle swarm optimization algorithm.During the simulation process,a total of 384 sets of reflective spectral data were calculated,with the number of simulated reflective spectral channels increasing from 3 to 8 channels,and the spectral matching ratio increasing from 80% to more than 90%.The simulation results were good,laying a theoretical and data foundation for the experimental verification of object color restoration.Finally,a large number of validation experiments were conducted in this paper.Through building an 8-channel LED spectral reconstruction system,the reflective spectrum of standard 24 color cards irradiated by four standard light sources was reconstructed,and a total of 96 sets of target reflective spectrum data were verified.After calculating the relevant error parameters,the maximum spectral matching degree reaches 90%,and the average spectral matching degree is greater than 86%;Color difference is less than 1.9;The color gamut area of the experimental system is 75% larger than that of the traditional s RGB color gamut area.The feasibility of quantum particle swarm optimization algorithm in the reconstruction of object reflection spectra and the practicality of multispectral fitting technology in the field of multi primary color restoration were verified.