X. Zhang, Q. Wang, J. Li, X. Zhou, Y. Yang, and H. Xu, “Estimating spectral reflectance from camera responses based on CIE XYZ tristimulus values under multi-illuminants,” Color Res. Appl. 42(1), 68–77 (2017).
[Crossref]
J. Liang and X. Wan, “Optimized method for spectral reflectance reconstruction from camera responses,” Opt. Express 25(23), 28273–28287 (2017).
[Crossref]
B. Cao, N. Liao, and H. Cheng, “Spectral reflectance reconstruction from RGB images based on weighting smaller color difference group,” Color Res. Appl. 42(3), 327–332 (2017).
[Crossref]
J. Liang, X. Wan, Q. Liu, C. Li, and J. Li, “Research on filter selection method for broadband spectral imaging system based on ancient murals,” Color Res. Appl. 41(6), 585–595 (2016).
[Crossref]
K. Xiao, Y. Zhu, C. Li, D. Connah, J. M. Yates, and S. Wuerger, “Improved method for skin reflectance reconstruction from camera images,” Opt. Express 24(13), 14934–14950 (2016).
[Crossref]
[PubMed]
R. Shrestha and J. Y. Hardeberg, “Spectrogenic imaging: a novel approach to multispectral imaging in an uncontrolled environment,” Opt. Express 22(8), 9123–9133 (2014).
[Crossref]
[PubMed]
T. Eckhard, E. M. Valero, J. Hernández-Andrés, and M. Schnitzlein, “Adaptive global training set selection for spectral estimation of printed inks using reflectance modeling,” Appl. Opt. 53(4), 709–719 (2014).
[Crossref]
[PubMed]
M. M. Amiri and S. H. Amirshahi, “A hybrid of weighted regression and linear models for extraction of reflectance spectra from CIEXYZ tristimulus values,” Opt. Rev. 21(6), 816–825 (2014).
[Crossref]
J. E. Garcia, A. G. Dyer, A. D. Greentree, G. Spring, and P. A. Wilksch, “Linearisation of RGB camera responses for quantitative image analysis of visible and UV photography: a comparison of two techniques,” PLoS One 8(11), e79534 (2013).
[Crossref]
[PubMed]
V. Babaei, S. H. Amirshahi, and F. Agahian, “Using weighted pseudo-inverse method for reconstruction of reflectance spectra and analyzing the dataset in terms of normality,” Color Res. Appl. 36(4), 295–305 (2011).
[Crossref]
H. Shen, H. Wan, and Z. Zhang, “Estimating reflectance from multispectral camera responses based on partial least-squares regression,” J. Electron. Imaging 19(2), 020501 (2010).
[Crossref]
V. Heikkinen, R. Lenz, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, and T. Jääskeläinen, “Evaluation and unification of some methods for estimating reflectance spectra from RGB images,” J. Opt. Soc. Am. A 25(10), 2444–2458 (2008).
[Crossref]
[PubMed]
J. Brauers, N. Schulte, and T. Aach, “Multispectral filter-wheel cameras: geometric distortion model and compensation algorithms,” IEEE Trans. Image Process. 17(12), 2368–2380 (2008).
[Crossref]
[PubMed]
A. Ribes and F. Schmitt, “Linear inverse problems in imaging,” IEEE Signal Process. Mag. 25(4), 84–99 (2008).
[Crossref]
R. Ramanath, W. E. Snyder, Y. Yoo, and M. S. Drew, “Color image processing pipeline,” IEEE Signal Process. Mag. 22(1), 34–43 (2005).
[Crossref]
D. Connah and J. Y. Hardeberg, “Spectral recovery using polynomial models,” Proc. SPIE 5667, 65–75 (2005).
[Crossref]
H. Malvar, L. He, and R. Cutler, “High-quality linear interpolation for demosaicing of Bayer-patterned color images,” Proc. IEEE 3, 485–488 (2004).
G. Paschos, “Perceptually uniform color spaces for color texture analysis: an empirical evaluation,” IEEE Trans. Image Process. 10(6), 932–937 (2001).
[Crossref]
J. Brauers, N. Schulte, and T. Aach, “Multispectral filter-wheel cameras: geometric distortion model and compensation algorithms,” IEEE Trans. Image Process. 17(12), 2368–2380 (2008).
[Crossref]
[PubMed]
V. Babaei, S. H. Amirshahi, and F. Agahian, “Using weighted pseudo-inverse method for reconstruction of reflectance spectra and analyzing the dataset in terms of normality,” Color Res. Appl. 36(4), 295–305 (2011).
[Crossref]
M. M. Amiri and S. H. Amirshahi, “A hybrid of weighted regression and linear models for extraction of reflectance spectra from CIEXYZ tristimulus values,” Opt. Rev. 21(6), 816–825 (2014).
[Crossref]
M. M. Amiri and S. H. Amirshahi, “A hybrid of weighted regression and linear models for extraction of reflectance spectra from CIEXYZ tristimulus values,” Opt. Rev. 21(6), 816–825 (2014).
[Crossref]
V. Babaei, S. H. Amirshahi, and F. Agahian, “Using weighted pseudo-inverse method for reconstruction of reflectance spectra and analyzing the dataset in terms of normality,” Color Res. Appl. 36(4), 295–305 (2011).
[Crossref]
V. Babaei, S. H. Amirshahi, and F. Agahian, “Using weighted pseudo-inverse method for reconstruction of reflectance spectra and analyzing the dataset in terms of normality,” Color Res. Appl. 36(4), 295–305 (2011).
[Crossref]
J. Brauers, N. Schulte, and T. Aach, “Multispectral filter-wheel cameras: geometric distortion model and compensation algorithms,” IEEE Trans. Image Process. 17(12), 2368–2380 (2008).
[Crossref]
[PubMed]
B. Cao, N. Liao, and H. Cheng, “Spectral reflectance reconstruction from RGB images based on weighting smaller color difference group,” Color Res. Appl. 42(3), 327–332 (2017).
[Crossref]
B. Cao, N. Liao, and H. Cheng, “Spectral reflectance reconstruction from RGB images based on weighting smaller color difference group,” Color Res. Appl. 42(3), 327–332 (2017).
[Crossref]
V. Cheung and S. Westland, “Methods for optimal color selection,” J. Imaging Sci. Technol. 50(5), 481–488 (2006).
[Crossref]
K. Xiao, Y. Zhu, C. Li, D. Connah, J. M. Yates, and S. Wuerger, “Improved method for skin reflectance reconstruction from camera images,” Opt. Express 24(13), 14934–14950 (2016).
[Crossref]
[PubMed]
D. Connah and J. Y. Hardeberg, “Spectral recovery using polynomial models,” Proc. SPIE 5667, 65–75 (2005).
[Crossref]
H. Malvar, L. He, and R. Cutler, “High-quality linear interpolation for demosaicing of Bayer-patterned color images,” Proc. IEEE 3, 485–488 (2004).
R. Ramanath, W. E. Snyder, Y. Yoo, and M. S. Drew, “Color image processing pipeline,” IEEE Signal Process. Mag. 22(1), 34–43 (2005).
[Crossref]
J. E. Garcia, A. G. Dyer, A. D. Greentree, G. Spring, and P. A. Wilksch, “Linearisation of RGB camera responses for quantitative image analysis of visible and UV photography: a comparison of two techniques,” PLoS One 8(11), e79534 (2013).
[Crossref]
[PubMed]
J. E. Garcia, A. G. Dyer, A. D. Greentree, G. Spring, and P. A. Wilksch, “Linearisation of RGB camera responses for quantitative image analysis of visible and UV photography: a comparison of two techniques,” PLoS One 8(11), e79534 (2013).
[Crossref]
[PubMed]
J. E. Garcia, A. G. Dyer, A. D. Greentree, G. Spring, and P. A. Wilksch, “Linearisation of RGB camera responses for quantitative image analysis of visible and UV photography: a comparison of two techniques,” PLoS One 8(11), e79534 (2013).
[Crossref]
[PubMed]
V. Heikkinen, R. Lenz, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, and T. Jääskeläinen, “Evaluation and unification of some methods for estimating reflectance spectra from RGB images,” J. Opt. Soc. Am. A 25(10), 2444–2458 (2008).
[Crossref]
[PubMed]
V. Heikkinen, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, T. Jaaskelainen, and S. D. Lee, “Regularized learning framework in the estimation of reflectance spectra from camera responses,” J. Opt. Soc. Am. A 24(9), 2673–2683 (2007).
[Crossref]
[PubMed]
H. Malvar, L. He, and R. Cutler, “High-quality linear interpolation for demosaicing of Bayer-patterned color images,” Proc. IEEE 3, 485–488 (2004).
V. Heikkinen, R. Lenz, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, and T. Jääskeläinen, “Evaluation and unification of some methods for estimating reflectance spectra from RGB images,” J. Opt. Soc. Am. A 25(10), 2444–2458 (2008).
[Crossref]
[PubMed]
V. Heikkinen, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, T. Jaaskelainen, and S. D. Lee, “Regularized learning framework in the estimation of reflectance spectra from camera responses,” J. Opt. Soc. Am. A 24(9), 2673–2683 (2007).
[Crossref]
[PubMed]
V. Heikkinen, R. Lenz, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, and T. Jääskeläinen, “Evaluation and unification of some methods for estimating reflectance spectra from RGB images,” J. Opt. Soc. Am. A 25(10), 2444–2458 (2008).
[Crossref]
[PubMed]
V. Heikkinen, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, T. Jaaskelainen, and S. D. Lee, “Regularized learning framework in the estimation of reflectance spectra from camera responses,” J. Opt. Soc. Am. A 24(9), 2673–2683 (2007).
[Crossref]
[PubMed]
K. Xiao, Y. Zhu, C. Li, D. Connah, J. M. Yates, and S. Wuerger, “Improved method for skin reflectance reconstruction from camera images,” Opt. Express 24(13), 14934–14950 (2016).
[Crossref]
[PubMed]
J. Liang, X. Wan, Q. Liu, C. Li, and J. Li, “Research on filter selection method for broadband spectral imaging system based on ancient murals,” Color Res. Appl. 41(6), 585–595 (2016).
[Crossref]
H. Li, Z. Wu, L. Zhang, and J. Parkkinen, “SR-LLA: A novel spectral reconstruction method based on locally linear approximation,” inProceedings of IEEE Conference on Image Processing (IEEE, 2013), pp. 2029–2033.
[Crossref]
X. Zhang, Q. Wang, J. Li, X. Zhou, Y. Yang, and H. Xu, “Estimating spectral reflectance from camera responses based on CIE XYZ tristimulus values under multi-illuminants,” Color Res. Appl. 42(1), 68–77 (2017).
[Crossref]
J. Liang, X. Wan, Q. Liu, C. Li, and J. Li, “Research on filter selection method for broadband spectral imaging system based on ancient murals,” Color Res. Appl. 41(6), 585–595 (2016).
[Crossref]
J. Liang and X. Wan, “Optimized method for spectral reflectance reconstruction from camera responses,” Opt. Express 25(23), 28273–28287 (2017).
[Crossref]
J. Liang, X. Wan, Q. Liu, C. Li, and J. Li, “Research on filter selection method for broadband spectral imaging system based on ancient murals,” Color Res. Appl. 41(6), 585–595 (2016).
[Crossref]
B. Cao, N. Liao, and H. Cheng, “Spectral reflectance reconstruction from RGB images based on weighting smaller color difference group,” Color Res. Appl. 42(3), 327–332 (2017).
[Crossref]
J. Liang, X. Wan, Q. Liu, C. Li, and J. Li, “Research on filter selection method for broadband spectral imaging system based on ancient murals,” Color Res. Appl. 41(6), 585–595 (2016).
[Crossref]
H. Malvar, L. He, and R. Cutler, “High-quality linear interpolation for demosaicing of Bayer-patterned color images,” Proc. IEEE 3, 485–488 (2004).
V. Heikkinen, R. Lenz, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, and T. Jääskeläinen, “Evaluation and unification of some methods for estimating reflectance spectra from RGB images,” J. Opt. Soc. Am. A 25(10), 2444–2458 (2008).
[Crossref]
[PubMed]
V. Heikkinen, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, T. Jaaskelainen, and S. D. Lee, “Regularized learning framework in the estimation of reflectance spectra from camera responses,” J. Opt. Soc. Am. A 24(9), 2673–2683 (2007).
[Crossref]
[PubMed]
H. Li, Z. Wu, L. Zhang, and J. Parkkinen, “SR-LLA: A novel spectral reconstruction method based on locally linear approximation,” inProceedings of IEEE Conference on Image Processing (IEEE, 2013), pp. 2029–2033.
[Crossref]
G. Paschos, “Perceptually uniform color spaces for color texture analysis: an empirical evaluation,” IEEE Trans. Image Process. 10(6), 932–937 (2001).
[Crossref]
R. Ramanath, W. E. Snyder, Y. Yoo, and M. S. Drew, “Color image processing pipeline,” IEEE Signal Process. Mag. 22(1), 34–43 (2005).
[Crossref]
A. Ribes and F. Schmitt, “Linear inverse problems in imaging,” IEEE Signal Process. Mag. 25(4), 84–99 (2008).
[Crossref]
A. Ribes and F. Schmitt, “Linear inverse problems in imaging,” IEEE Signal Process. Mag. 25(4), 84–99 (2008).
[Crossref]
J. Brauers, N. Schulte, and T. Aach, “Multispectral filter-wheel cameras: geometric distortion model and compensation algorithms,” IEEE Trans. Image Process. 17(12), 2368–2380 (2008).
[Crossref]
[PubMed]
H. Shen, H. Wan, and Z. Zhang, “Estimating reflectance from multispectral camera responses based on partial least-squares regression,” J. Electron. Imaging 19(2), 020501 (2010).
[Crossref]
R. Ramanath, W. E. Snyder, Y. Yoo, and M. S. Drew, “Color image processing pipeline,” IEEE Signal Process. Mag. 22(1), 34–43 (2005).
[Crossref]
J. E. Garcia, A. G. Dyer, A. D. Greentree, G. Spring, and P. A. Wilksch, “Linearisation of RGB camera responses for quantitative image analysis of visible and UV photography: a comparison of two techniques,” PLoS One 8(11), e79534 (2013).
[Crossref]
[PubMed]
H. Shen, H. Wan, and Z. Zhang, “Estimating reflectance from multispectral camera responses based on partial least-squares regression,” J. Electron. Imaging 19(2), 020501 (2010).
[Crossref]
J. Liang and X. Wan, “Optimized method for spectral reflectance reconstruction from camera responses,” Opt. Express 25(23), 28273–28287 (2017).
[Crossref]
J. Liang, X. Wan, Q. Liu, C. Li, and J. Li, “Research on filter selection method for broadband spectral imaging system based on ancient murals,” Color Res. Appl. 41(6), 585–595 (2016).
[Crossref]
X. Zhang, Q. Wang, J. Li, X. Zhou, Y. Yang, and H. Xu, “Estimating spectral reflectance from camera responses based on CIE XYZ tristimulus values under multi-illuminants,” Color Res. Appl. 42(1), 68–77 (2017).
[Crossref]
V. Cheung and S. Westland, “Methods for optimal color selection,” J. Imaging Sci. Technol. 50(5), 481–488 (2006).
[Crossref]
J. E. Garcia, A. G. Dyer, A. D. Greentree, G. Spring, and P. A. Wilksch, “Linearisation of RGB camera responses for quantitative image analysis of visible and UV photography: a comparison of two techniques,” PLoS One 8(11), e79534 (2013).
[Crossref]
[PubMed]
H. Li, Z. Wu, L. Zhang, and J. Parkkinen, “SR-LLA: A novel spectral reconstruction method based on locally linear approximation,” inProceedings of IEEE Conference on Image Processing (IEEE, 2013), pp. 2029–2033.
[Crossref]
X. Zhang, Q. Wang, J. Li, X. Zhou, Y. Yang, and H. Xu, “Estimating spectral reflectance from camera responses based on CIE XYZ tristimulus values under multi-illuminants,” Color Res. Appl. 42(1), 68–77 (2017).
[Crossref]
X. Zhang, Q. Wang, J. Li, X. Zhou, Y. Yang, and H. Xu, “Estimating spectral reflectance from camera responses based on CIE XYZ tristimulus values under multi-illuminants,” Color Res. Appl. 42(1), 68–77 (2017).
[Crossref]
R. Ramanath, W. E. Snyder, Y. Yoo, and M. S. Drew, “Color image processing pipeline,” IEEE Signal Process. Mag. 22(1), 34–43 (2005).
[Crossref]
H. Li, Z. Wu, L. Zhang, and J. Parkkinen, “SR-LLA: A novel spectral reconstruction method based on locally linear approximation,” inProceedings of IEEE Conference on Image Processing (IEEE, 2013), pp. 2029–2033.
[Crossref]
X. Zhang, Q. Wang, J. Li, X. Zhou, Y. Yang, and H. Xu, “Estimating spectral reflectance from camera responses based on CIE XYZ tristimulus values under multi-illuminants,” Color Res. Appl. 42(1), 68–77 (2017).
[Crossref]
H. Shen, H. Wan, and Z. Zhang, “Estimating reflectance from multispectral camera responses based on partial least-squares regression,” J. Electron. Imaging 19(2), 020501 (2010).
[Crossref]
X. Zhang, Q. Wang, J. Li, X. Zhou, Y. Yang, and H. Xu, “Estimating spectral reflectance from camera responses based on CIE XYZ tristimulus values under multi-illuminants,” Color Res. Appl. 42(1), 68–77 (2017).
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T. Eckhard, E. M. Valero, J. Hernández-Andrés, and M. Schnitzlein, “Adaptive global training set selection for spectral estimation of printed inks using reflectance modeling,” Appl. Opt. 53(4), 709–719 (2014).
[Crossref]
[PubMed]
B. Cao, N. Liao, and H. Cheng, “Spectral reflectance reconstruction from RGB images based on weighting smaller color difference group,” Color Res. Appl. 42(3), 327–332 (2017).
[Crossref]
V. Babaei, S. H. Amirshahi, and F. Agahian, “Using weighted pseudo-inverse method for reconstruction of reflectance spectra and analyzing the dataset in terms of normality,” Color Res. Appl. 36(4), 295–305 (2011).
[Crossref]
X. Zhang, Q. Wang, J. Li, X. Zhou, Y. Yang, and H. Xu, “Estimating spectral reflectance from camera responses based on CIE XYZ tristimulus values under multi-illuminants,” Color Res. Appl. 42(1), 68–77 (2017).
[Crossref]
J. Liang, X. Wan, Q. Liu, C. Li, and J. Li, “Research on filter selection method for broadband spectral imaging system based on ancient murals,” Color Res. Appl. 41(6), 585–595 (2016).
[Crossref]
A. Ribes and F. Schmitt, “Linear inverse problems in imaging,” IEEE Signal Process. Mag. 25(4), 84–99 (2008).
[Crossref]
R. Ramanath, W. E. Snyder, Y. Yoo, and M. S. Drew, “Color image processing pipeline,” IEEE Signal Process. Mag. 22(1), 34–43 (2005).
[Crossref]
J. Brauers, N. Schulte, and T. Aach, “Multispectral filter-wheel cameras: geometric distortion model and compensation algorithms,” IEEE Trans. Image Process. 17(12), 2368–2380 (2008).
[Crossref]
[PubMed]
G. Paschos, “Perceptually uniform color spaces for color texture analysis: an empirical evaluation,” IEEE Trans. Image Process. 10(6), 932–937 (2001).
[Crossref]
H. Shen, H. Wan, and Z. Zhang, “Estimating reflectance from multispectral camera responses based on partial least-squares regression,” J. Electron. Imaging 19(2), 020501 (2010).
[Crossref]
V. Cheung and S. Westland, “Methods for optimal color selection,” J. Imaging Sci. Technol. 50(5), 481–488 (2006).
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H. L. Shen and J. H. Xin, “Spectral characterization of a color scanner based on optimized adaptive estimation,” J. Opt. Soc. Am. A 23(7), 1566–1569 (2006).
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[Crossref]
[PubMed]
V. Heikkinen, T. Jetsu, J. Parkkinen, M. Hauta-Kasari, T. Jaaskelainen, and S. D. Lee, “Regularized learning framework in the estimation of reflectance spectra from camera responses,” J. Opt. Soc. Am. A 24(9), 2673–2683 (2007).
[Crossref]
[PubMed]
R. Shrestha and J. Y. Hardeberg, “Spectrogenic imaging: a novel approach to multispectral imaging in an uncontrolled environment,” Opt. Express 22(8), 9123–9133 (2014).
[Crossref]
[PubMed]
K. Xiao, Y. Zhu, C. Li, D. Connah, J. M. Yates, and S. Wuerger, “Improved method for skin reflectance reconstruction from camera images,” Opt. Express 24(13), 14934–14950 (2016).
[Crossref]
[PubMed]
J. Liang and X. Wan, “Optimized method for spectral reflectance reconstruction from camera responses,” Opt. Express 25(23), 28273–28287 (2017).
[Crossref]
M. M. Amiri and S. H. Amirshahi, “A hybrid of weighted regression and linear models for extraction of reflectance spectra from CIEXYZ tristimulus values,” Opt. Rev. 21(6), 816–825 (2014).
[Crossref]
J. E. Garcia, A. G. Dyer, A. D. Greentree, G. Spring, and P. A. Wilksch, “Linearisation of RGB camera responses for quantitative image analysis of visible and UV photography: a comparison of two techniques,” PLoS One 8(11), e79534 (2013).
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