Paper
16 September 1999 Improving results of a simple RGB model for cameras using estimation
Author Affiliations +
Proceedings Volume 3826, Polarization and Color Techniques in Industrial Inspection; (1999) https://doi.org/10.1117/12.364307
Event: Industrial Lasers and Inspection (EUROPTO Series), 1999, Munich, Germany
Abstract
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Birgitta Martinkauppi "Improving results of a simple RGB model for cameras using estimation", Proc. SPIE 3826, Polarization and Color Techniques in Industrial Inspection, (16 September 1999); https://doi.org/10.1117/12.364307
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KEYWORDS
Cameras

RGB color model

Error analysis

Calibration

Statistical analysis

Reflection

Reflectivity

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