Paper
3 February 2014 Simplifying irradiance independent color calibration
Pouya Bastani, Brian Funt
Author Affiliations +
Proceedings Volume 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications; 90150N (2014) https://doi.org/10.1117/12.2042507
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
An important component of camera calibration is to derive a mapping of a camera’s output RGB to a device independent color space such as the CIE XYZ or sRGB6. Commonly, the calibration process is performed by photographing a color chart in a scene under controlled lighting and finding a linear transformation M that maps the chart’s colors from linear camera RGB to XYZ. When the XYZ values corresponding to the color chart’s patches are measured under a reference illumination, it is often assumed that the illumination across the chart is uniform when it is photographed. This simplifying assumption, however, often is violated even in such relatively controlled environments as a light booth, and it can lead to inaccuracies in the calibration. The problem of color calibration under non-uniform lighting was investigated by Funt and Bastani2,3. Their method, however, uses a numerical optimizer, which can be complex to implement on some devices and has a relatively high computational cost. Here, we present an irradiance-independent camera color calibration scheme based on least-squares regression on the unit sphere that can be implemented easily, computed quickly, and performs comparably to the previously suggested technique.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pouya Bastani and Brian Funt "Simplifying irradiance independent color calibration", Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150N (3 February 2014); https://doi.org/10.1117/12.2042507
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CITATIONS
Cited by 4 scholarly publications and 1 patent.
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KEYWORDS
Calibration

Cameras

RGB color model

Light sources and illumination

Photography

Matrices

Optical spheres

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