外文题目: Study on the key technology of spectral reflectance reconstruction based on the weighted measurement matrix
作者: Zhang Leihong; Li Bei; Liang Dong; Ma Xiuhua
刊名: Laser Phys.
年: 2016 卷: 26 期: 7 文章编号：75202
英文关键词:
spectral reflectance reconstruction; PCA; Wiener estimation; pseudo inverse; weight
PRINCIPAL COMPONENT ANALYSIS
英文摘要:
In order to reconstruct the spectral reflectance accurately, a new method of spectral reflectance reconstruction based on the weighted measurement matrix is proposed in this paper. By optimizing the measurement matrix between spectral reflectance and the response of a camera, the method can improve the reconstruction accuracy. The new method is a combination of three kinds of common reflectance reconstruction methods, which are the pseudo inverse method, the Wiener estimation method and the principal component analysis method. The new measurement matrix can be achieved after weighting the measurement matrices of these three methods to reconstruct the spectral reflectance. What is more, the weights of the three methods can be obtained by minimizing the color difference. Results show that the CIE1976 color difference and RMSE value of the weighted reconstructed spectra are less than that of three common reconstruction methods. The spectral matching accuracy GFC of the method is higher than 0.99 and its reconstruction accuracy is high.


文献类型: 期刊论文
正文语种: English
收录类别: SCIEI
DOI: 10.1088/1054-660X/26/7/075202


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