Research on spectral reflectance reconstruction method based on camera RGB value

DOI:	10.11809/bqzbgcxb2024.02.037
Keywords:	spectral reflectance; weighted average; reconstruction matrix; spectral curve; color correction
Abstract:	The spectral reflectance reconstruction technology can realize the accurate correction and replication of background color data, and on this basis, high fusion camouflage can be designed and implemented, which provides an effective protective barrier for mobile equipment in different background environments, which is of great value. In this paper, referring to the characteristics of spectral imaging technology, according to the principle of color formation and the quantitative calculation formula of tristimulus value, the experimental scheme is designed by controlling the single variable method, and a weighted average spectral reflectance reconstruction method is proposed (TWA), and the imaging system response value (RGB) and spectral reflectance data of the training samples are obtained by camera and spectrometer, and the traditional least squares method (OLS), regularized least squares method (RLS), partial least squares method (PLS), and the extracted sample RGB value and spectral reflectance data are respectively used by traditional least squares method (OLS), regularized least squares method (RLS), partial least squares method (PLS), respectively. Principal component analysis (PCA) and weighted average method (TWA) proposed in this paper were trained to obtain spectral reflectance reconstruction matrix, and finally the spectral reflectance reconstruction matrix was used to reconstruct the spectral reflectance of the test sample response value, and the experimental results were analyzed to compare the spectral reflectance reconstruction effects of different methods. The results show that the weighted average method proposed in this paper has better effects on spectral rms error SRMSE, average goodness of fit coefficient GFC, mean color difference and other indicators, and the spectral reflectance accuracy of the reconstruction is higher and the color correction effect is better.
Published:	2024-02-28
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