Spectral characterization and optimization of the colorimetric color reproduction of digital camera systems
Diplomarbeit, Masterarbeit, Studienarbeit, Bachelorarbeit
The color reproduction of the digital camera system is mainly influenced by the spectrum of the illumination, the camera color filters, and the chosen white balance algorithm that maps the raw RGB data of the camera system into a device independent color space. In industrial applications, this mapping is usually performed using a simple 3 x 3 (or higher order) matrix leading to significant problems concerning the issue of perceptual color differences and metameric errors.
Hence, the goal of this thesis project is to overcome these problems by using a different ansatz: A new table based evaluation method should be developed which transforms the raw RGB data more accurately than the standard matrix transformation does. In order to implement such a model, the spectral sensitivity curves of the digital camera system must be known and measured on an absolute scale using a monochromator. Based on these measurements the new algorithm can be developed and implemented. Last but not least, a benchmark against the standard matrix transformation procedure is necessary.
- Familiarization with the concepts of color measurement, uniform color spaces, and color reproduction
- Spectral characterization of camera sensor filter curves using a monochromator; improving the experimental setup
- Become acquainted with photometric metrology
- Optimization of the color reproduction using a table based evaluation method
- Benchmarking against standard matrix transformation
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