Spectrum reconstruction method and system based on multichannel imaging system

Abstract

The invention discloses a spectrum reconstruction method and system based on a multichannel imaging system, which are used for performing spectrum reconstruction according to the camera response values of a training sample to-be-selected set and a to-be-reconstructed sample set acquired by the multichannel imaging system. The method comprises the following steps: selecting training samples with most similar camera response values from the training sample to-be-selected set for each to-be-reconstructed sample in the to-be-reconstructed sample set respectively to obtain an initially-selected sample set; removing identical samples, and constructing a matrix by the spectral reflectivity information of all samples to perform PCA (Principal Component Analysis) analysis; computing the accumulating contribution rate of a characteristic value; screening the samples to obtain a training sample sub-set, performing spectrum reconstruction according to each training sample sub-set for each to-be-reconstructed sample, and selecting one reconstruction result according to a reconstruction error minimum principle for serving as the final spectral reflectivity value of each to-be-reconstructed sample. By adopting the spectrum reconstruction method and system, the chromaticity accuracy and spectrum accuracy of each reconstructed sample can be remarkably increased, and high-fidelity color reproduction can be performed. Meanwhile, the method and the system are easy and convenient to implement, and are suitable for popularization and application.

Description

technical field [0001] The invention belongs to the field of spectral reconstruction of a multi-channel imaging system, in particular to a method and system for spectral reconstruction based on a multi-channel imaging system. Background technique [0002] The color presented by an object is determined by the spectral composition of the object after it selectively absorbs and reflects incident light. Therefore, spectral reflectance is the most accurate method of characterizing color in the visible light range, and this characterization method has nothing to do with equipment and the environment. Using a multi-channel imaging system to convert the collected camera response values ​​into spectral information through mathematical methods, this process of indirectly obtaining the spectral reflectance of objects is called spectral reconstruction. At present, this technology has become an important direction of color science research, and has very broad application prospects in man...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the shortcomings of existing sample selection methods, and propose a spectr...

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