Improved Spectral Density Measurement from Estimated Reflectance Data with Kernel Ridge Regression
暂无分享,去创建一个
[1] C. Godau,et al. Evaluation of a multi-spectral camera system for inline color measurement , 2013 .
[2] F. Schmitt,et al. Linear inverse problems in imaging , 2008, IEEE Signal Processing Magazine.
[3] Shree K. Nayar,et al. Multispectral Imaging Using Multiplexed Illumination , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[4] V. Heikkinen,et al. Link functions and Matérn kernel in the estimation of reflectance spectra from RGB responses. , 2013, Journal of the Optical Society of America. A, Optics, image science, and vision.
[5] Javier Hernández-Andrés,et al. Evaluating logarithmic kernel for spectral reflectance estimation-effects on model parametrization, training set size, and number of sensor spectral channels. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.
[6] Antanas Verikas,et al. Estimating ink density from colour camera RGB values by the local kernel ridge regression , 2008, Eng. Appl. Artif. Intell..
[7] Reiner Lenz,et al. Evaluation and unification of some methods for estimating reflectance spectra from RGB images. , 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.
[8] Helmut Kipphan,et al. Handbook of Print Media: Technologies and Production Methods , 2006 .