Spectroscopy and Spectral Analysis, Volume. 42, Issue 7, 2092(2022)
Research on Spectral Image Reconstruction Based on Nonlinear Spectral Dictionary Learning From Single RGB Image
Figures & Tables(6)
Fig. 2. The distribution of two data sets in color space from the spectral dataset for training the spectral dictionary
(a): Munsell; (b): Pantone+Munsell
Fig. 3. RGB images under different illuminats and residual error map between their reconstructed spectral images and their original captured spectral images, the training dataset of the reconstructed spectral images is Munsell
Fig. 4. RGB images under different illuminants and residual error map between their reconstructed spectral images and their original captured spectral images, the training dataset of the reconstructed spectral images is Munsell+Pantone
Table 1. RMSE results of reconstructed spectral reflectance for different train sets
View tableView in ArticleTable 1. RMSE results of reconstructed spectral reflectance for different train sets
方法 Munsell Munsell+Pantone 平均值 标准偏差 平均值 标准偏差 PCA 0.036 4 0.021 1 0.037 3 0.021 8 NLPCA 0.017 4 0.010 7 0.016 9 0.010 0 改进NLPCA 0.015 6 0.009 5 0.014 5 0.009 5
Table 2. RMSE results of the reconstructed spectral images from their RGB images under different illuminants
View tableView in ArticleTable 2. RMSE results of the reconstructed spectral images from their RGB images under different illuminants
光源 重建方法 Munsell+Pantone(训练)
(平均值±标准偏差值)Munsell(训练)
(平均值±标准偏差值)CAVE UEA CAVE UEA SR_SR[14] 0.254 9±0.053 0 0.354 3±0.100 0 0.304 9±0.052 0 0.343 7±0.073 6 A NLPCA_SR[23] 0.411 6±0.253 1 0.422 0±0.231 2 0.378 1±0.131 9 0.385 1±0.097 2 本文方法 0.202 2±0.067 0 0.253 4±0.087 8 0.207 6±0.061 9 0.271 1±0.066 4 SR_SR[14] 0.254 9±0.053 0 0.354 3±0.100 0 0.304 9±0.052 0 0.343 7±0.073 6 D65 NLPCA_SR[23] 0.411 5±0.103 0 0.414 6±0.114 7 0.368 9±0.095 6 0.375 8±0.092 8 本文方法 0.202 2±0.069 7 0.237 4±0.087 6 0.217 6±0.060 7 0.293 6±0.088 8 SR_SR[14] 0.254 9±0.053 0 0.354 3±0.100 0 0.304 9±0.052 0 0.343 7±0.073 6 F2 NLPCA_SR[23] 0.235 6±0.076 6 0.281 3±0.104 8 0.440 4±0.236 7 0.360 7±0.168 1 本文方法 0.232 7±0.068 8 0.275 5±0.078 8 0.263 1±0.077 9 0.320 1±0.105 9 SR_SR[14] 0.254 9±0.053 0 0.354 3±0.100 0 0.304 9±0.052 0 0.343 7±0.073 6 Avg. NLPCA_SR[23] 0.352 9±0.144 2 0.372 6±0.150 2 0.395 8±0.154 7 0.373 9±0.119 4 本文方法 0.212 4±0.068 5 0.255 4±0.084 7 0.229 4±0.066 8 0.294 9±0.087 0
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Chu ZUO, De-hong XIE, Xiao-xia WAN. Research on Spectral Image Reconstruction Based on Nonlinear Spectral Dictionary Learning From Single RGB Image[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2092
Paper Information
Category: Orginal Article
Received: Apr. 27, 2021
Accepted: --
Published Online: Nov. 16, 2022
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