Spectral Reflectance Recovery from Tristimulus Values under Multi-Illuminants

Abstract

An efficient procedure for recovering spectral reflectance using an object’s tristimulus values under multi-illuminants is proposed by adapting with the characteristics of the testing sample to obtain the transformation matrix of pseudoinverse. Specifically, we propose the reference illuminants selection strategy and local sample weighted strategy to obtain the optimal transformation matrix under multi-illuminants condition. Selecting the reference illuminants are based on the result of the spectral angle mapper (SAM) statistics. The number of the selected local training samples and the weighted local samples can be determined by using the multicolor space Euclidean distance. To compare the experimental results, the proposed method significantly increases the spectral and colorimetric accuracy for the spectral reflectance recovery process.

Analysis of a Product Cleaner for Car Windows and Identification of its Surfactants by Infrared Absorption Spectra and Calculation of Band Gap Energy by its Reflectance Graph

“…The color of the window car cleaner in the CIE L*a*b* system for illuminant C/2 [8] is L*=28.52, a*=-1.11 and b*=1.20. L is the measure of lightness and varies from 100 for a perfect white to 0 for the absolute black.…”

Spectral radiance backward characterization model for liquid crystal display based on key wavelengths

“…The spectrum is the essence of color, and retains color information to the maximum extent [5]. Color management systems based on the spectrum have become a research hotspot [6].…”