The purpose of this paper is to investigate if it is possible to use estimation techniques to reduce the difference between predicted and actual RGB values. Images and spectral reflectances of two classes of objects were used: matte, 2D (Munsell chips and Macbeth chart) and natural, 3D objects (faces). In the prediction phase, a simple RGB model was evaluated which takes into account only the spectral power distributions of the current and calibration illuminants, spectral reflectances of the objects, and the spectral response of the RGB camera in the calculations to avoid the complexity of modeling other possible factors affecting image formation. The results show that an estimation can make the prediction results closer to the actual values.

Date Published: 16 September 1999
PDF: 9 pages
Proc. SPIE 3826, Polarization and Color Techniques in Industrial Inspection, (16 September 1999); doi: 10.1117/12.364307

Published in SPIE Proceedings Vol. 3826:
Polarization and Color Techniques in Industrial Inspection
Elzbieta A. Marszalec; Emanuele Trucco, Editor(s)