Study on the key technology of spectral reflectivity reconstruction based on sparse prior by a single-pixel detector

Leihong Zhang; Dong Liang; Bei Li; Yi Kang; Zilan Pan; Dawei Zhang; Xiuhua Ma

doi:10.1364/prj.4.000115

[1] M. A. López-álvarez, J. Hernández-Andrés, J. Romero, F. J. Olmo, A. Cazorla, L. Alados-Arboledas. Using a trichromatic CCD camera for spectral skylight estimation. Appl. Opt., 47, H31-H38(2008).

[2] M. Rump, A. Zinke, R. Klein. Practical spectral characterization of trichromatic cameras. ACM Trans. Graph., 30, 170(2011).

[3] S. H. Amirshahi, S. A. Amirshahi. Adaptive non-negative bases for reconstruction of spectral data from colorimetric information. Opt. Rev., 17, 562-569(2010).

[4] V. Cheung, S. Westland, C. J. Li, J. Hardeberg, D. Connah. Characterization of trichromatic color cameras by using a new multispectral imaging technique. J. Opt. Soc. Am. A, 22, 1231-1240(2005).

[5] E. A. Day, R. S. Berns, L. A. Taplin. A psychophysical experiment evaluating the color accuracy of several multispectral image capture techniques. J. Imaging Sci. Technol., 48, 93-104(2004).

[6] H. D. Zhang, A. Muhammmad, J. Luo, Q. Tong, Y. Lei, X. Y. Zhang, H. H. Sang, C. S. Xie. Electrically tunable infrared filter based on the liquid crystal Fabry–Perot structure for spectral imaging detection. Appl. Opt., 53, 5632-5639(2014).

[7] P. Gonzalez, B. Geelen, C. Blanch, K. Tack, A. Lambrechts. A CMOS-compatible, monolithically integrated snapshot-mosaic multispectral imager. NIR News, 26, 6-11(2015).

[8] B. Geelen, P. Gonzalez, N. Tack, A. Lambrechts. A tiny VIS-NIR snapshot multispectral camera. Proc. SPIE, 9374, 937414(2015).

[9] B. Geelen, N. Tack, A. Lambrechts. A compact snapshot multispectral imager with a monolithically integrated per-pixel filter mosaic. Proc. SPIE, 8974, 89740L(2014).

[10] A. Yitzhak, S. Adrian. Compressive sensing spectrometry based on liquid crystal devices. Opt. Lett., 38, 4996-4999(2013).

[11] L. H. Zhang, D. Liang, Z. L. Pan, X. H. Ma. Study on the key technology of reconstruction spectral reflectance based on the algorithm of compressive sensing. Opt. Quantum Electron., 47, 1679-1692(2015).

[12] D. Y. Tzeng, R. S. Berns. A review of principal component analysis and its applications to color technology. Color Res. Appl., 30, 84-98(2005).

[13] H. S. Fairman, M. H. Brill. The principal components of reflectances. Color Res. Appl., 29, 104-110(2004).