Spectral reconstruction method based on RGB value

Abstract

The invention discloses a spectral reconstruction method based on an RGB value. The method comprises the following steps: (1), preparing a training sample set, acquiring an RGB value and a spectral reflectance value of the training sample set, constructing an association relation between the RGB value and the spectral reflectance value according to a spectral projection formula, and acquiring a projection matrix; (2), acquiring a spectrum dictionary matrix X; (3), preparing a test sample set, acquiring an RGB value of the test sample set, constructing a relational expression between the RGB value and the spectral dictionary matrix X, and calcualting a spectral coefficient b in the relational expression by combining the projection matrix A; and (4), substituting the spectral coefficient b and the spectral dictionary matrix X into the spectral reconstruction formula to complete spectral reconstruction. According to the invention, the spectral dictionary matrix X is obtained and thus thereflectivity spectrum of any color can be linearly expressed by the spectral coefficient b and the spectral dictionary matrix X so as to reduce the morbidity situation.

Description

technical field [0001] The invention belongs to the technical field of spectral reconstruction, and in particular relates to a spectral reconstruction method based on RGB values. Background technique [0002] Compared with traditional color images, spectral images can obtain useful information with richer content and more prominent details, and spectral imaging technology has developed rapidly. In recent years, some scholars have carried out research on spectral reconstruction methods based on RGB digital cameras. The spectral imaging system makes it possible to obtain spectral images with simple, portable, and low-cost ordinary cameras. However, for this spectral imaging system, reconstructing high-dimensional spectral reflectance information from low-dimensional digital response signals (RGB values) is a mathematical solution process of an ill-conditioned linear system. The coefficient matrix of this linear system is a low-rank matrix and The number of rows and columns o...

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Problems solved by technology

However, for this spectral imaging system, reconstructing high-dimensional spectral reflectance information from low-dimensional digital response signals (RGB values) is a mathematical solution process of an ill-conditioned linear system. The coefficient matrix of this linear system is a low-rank matrix and The number of rows and columns of the matrix varies greatly, resulting in huge problems in reconstruction accuracy and stability when using this linear system to reconstruct multidimensional spectra

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