Spectral radiance reconstruction from trichromatic camera responses based on orthogonal test and regularized algorithm. Issue 1 (28th August 2020)

• Record Type: Journal Article
• Authors: Xie, Xufen; Shang, Yingying; Zhu, Jieyu; Liao, Ningfang; Wu, Wenmin; Liang, Jing; Fu, Chaoqun
• Is Part Of: Color research & application. Volume 46:Issue 1(2021)
• Page Start: 65
• Page End: 74
• Publication Date: 2020-08-28
• Subjects: least square method -- orthogonal test -- regularization method -- spectral radiance reconstruction; Color -- Periodicals; 535
• DOI: 10.1002/col.22556
• Languages: English
• ISSNs: 0361-2317

Abstract

Abstract: Reconstruction of spectral information based on multi‐channel image system is a significant problem in color reproduction, detection, and recognition. A spectral radiance reconstruction from trichromatic digital camera responses is researched in this article. The mapping relationship between the trichromatic imaging system response and the incident spectral radiance is analyzed. Then, in order to remove the ill‐posedness of the problem, a regularized constraint solution model of spectral radiance reconstruction matrix is established. And the spectral radiance can be reconstructed by spectral radiance reconstruction matrices and trichromatic imaging system response. Finally, the spectral radiance reconstruction matrix is estimated by the system radiometric calibration experiment. The input radiance is offered by a LCD display. A 3‐factor and 9‐level orthogonal test is designed for the calibration experiment, and a test set of 24 colors is used for precision analysis. The results show that the average relative mean error of our method is 8.69%, it is lower than that of Wiener filtering method by 2.84%. The method can reconstruct spectral radiance information effectively.