Method of air pollution estimation based on spectral image processing

A method of performing air pollution estimation, the method being implemented using a processor of a computer device, the computer device storing a reference color image of a reference object and a reflection spectral dataset associated with the reference object, the method comprising:

• A) generating a spectral image based on an original color image of an environment under test using a spectral transformation matrix;
• B) supplying the spectral image as an input into an estimating model for air pollution estimation;
• and
• C) from the estimating model, obtaining an estimation result indicating a degree of air pollution of the environment under test;
• the method further comprising, prior to step A):
• D) performing a converting operation to convert the reference color image and the reflection spectral dataset to a CIE 1931 XYZ color space created by the International Commission on Illumination (CIE) in 1931, so as to obtain a converted reference image and a converted spectral dataset corresponding to the reference color image and the reflection spectral dataset, respectively;
• E) obtaining a parameter matrix from the converted reference image;
• F) obtaining an adjustment matrix from the converted spectral dataset and the parameter matrix;
• G) obtaining a corrected image based on the parameter matrix and the adjustment matrix;
• and
• H) obtaining the spectral transformation matrix from the reflection spectral dataset and the corrected image.