Title :
To develop a method of estimating spectral reflectance from camera RGB values
Author :
Slavuj, Radovan ; Green, P.
Author_Institution :
Norwegian Colour & Visual Comput. Lab., Gjovik, Norway
Abstract :
Spectral reflectance represents physical information of an object surface. In a conventional colour management system the spectral reflectance will be converted to the common space which will describe object tristimulus value or how will that particular colour will look under some of the standard illuminants or real light sources. However, many applications will require the object reflection to be known and independent on the viewing illuminant.
Keywords :
cameras; covariance matrices; image colour analysis; image reconstruction; linear algebra; optimisation; principal component analysis; reflectivity; sensitivity analysis; spectral analysis; stochastic processes; PCA; RGB camera signal value; Wiener estimate; basis vectors; covariance matrix; decomposition reduction techniques; dimension reduction techniques; direct camera sensitivity curve measurement; graphic arts; imaging surface; linear algebra; object reflection; optimization; physical object surface information; printing technologies; spectral reflectance estimation method; spectral reflectance reconstruction method; Cameras; Image color analysis; Image reconstruction; Noise; Reflectivity; Sensitivity; Multispectral imaging; PCA; RGB to reflectance; Spectral Reconstruction; Wiener estimate;
Conference_Titel :
Colour and Visual Computing Symposium (CVCS), 2013
Conference_Location :
Gjovik
DOI :
10.1109/CVCS.2013.6626288
