Nonlinear dimensionality reduction of multi-spectral images for color reproduction
| Autor: | 罗雪梅 Luo Xue-mei, 王忠民 Wang Zhong-min, 王莹 Wang Ying, 王义峰 Wang Yi-feng |
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| Rok vydání: | 2011 |
| Předmět: |
Color difference
business.industry Dimensionality reduction Nonlinear dimensionality reduction Pattern recognition Stability (probability) Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Weighting Human visual system model Principal component analysis Computer vision Artificial intelligence business Mathematics Curse of dimensionality |
| Zdroj: | Optics and Precision Engineering. 19:1171-1178 |
| ISSN: | 1004-924X |
| DOI: | 10.3788/ope.20111905.1171 |
| Popis: | To solve the problem brought by high dimensionality of multi-spectral images during color reproduction,a nonlinear dimensionality reduction method for multi-spectral images was presented.Firstly,according to the characteristics of human visual system,the CIE standard observer color matching functions were weighted to the source spectral reflectance and a Principal Component Analysis(PCA) method was used to the weighted spectrum to effectively improve the colorimetric precision and color difference stability of dimensionality reduction.Then,for the spectral reflectance loss caused by weighting color matching functions,a PCA method was imposed on the lost spectrum to compensate the lost spectral accuracy caused by the improvement of colorimetric precision to effectively improve the spectral precision of dimensionality reduction.Finally the principal components obtained from the first two steps were combined to form the low-dimensional spectral data.Experiments show that the proposed method can offer the average spectral precision in 0.013 9,average colorimetric precision in 0.705 8,and the color difference stability in 1.950 6,which is increased by 14% and 15%,47% and 68%,as well 84% and 82% as comparied those of the PCA and LabPQR methods.The method outperforms the existing methods in the colorimetric accuracy,spectral accuracy and color difference stability under different illuminants. |
| Databáze: | OpenAIRE |
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