Virtual multi-source spectral reconstruction method based on color constancy

Abstract

The invention provides a virtual multi-source spectral reconstruction method based on color constancy. The method is characterized by comprising the following steps that a color response value of a training sample set and a color response value of a to-be-tested sample are obtained through a digital imaging device under an ambient light source; then a color constancy and white balance formula is used for calculating a multi-dimensional color response value of a virtual light source corresponding to the training sample set and the to-be-tested sample; finally, the spectral reflectivity of the to-be-tested sample is obtained through calculation through a linear model method. Therefore, on the premise that the influence of a reference light source is eliminated, the multi-dimensional color response value is constructed in the virtual light source to reconstruct the spectral reflectivity, calculation is simple, the spectral reconstruction precision is high, and the method is relatively convenient for users to use.

Description

technical field [0001] The invention relates to a spectral reconstruction method, in particular to a virtual multi-light source spectral reconstruction method based on color constancy, which can be widely used in the fields of textile color, printing detection, artwork reproduction and e-commerce. Background technique [0002] There are mainly two ways to quantitatively represent the color information of an object: color information based on chromaticity and color information based on the spectral reflectance of the object surface. Chroma-based color information is usually represented by color tristimulus values. For example, colors in ordinary digital cameras, LCD monitors or multimedia projectors are usually represented by R, G, and B tristimulus values, and these tristimulus values ​​can be converted into Other corresponding tristimulus values, such as CIE tristimulus values ​​X, Y, Z or Lab values, etc. Ideally, the acquisition of tristimulus values ​​usually requires t...

AI Technical Summary

Problems solved by technology

However, it is often impossible to obtain additional tristimulus values ​​from conventional chromaticity acquisition devices (such as scanners), the selection of reference (photographing) light sources, and the neglect of the color constancy of the human eye, etc., resulting in large problems in the spectral reconstruction process of linear model methods error

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