Paper
13 January 2003 Characterization of a digital camera as an absolute tristimulus colorimeter
Francisco Martinez-Verdu, Jaume Pujol, Meritxell Vilaseca, Pascual Capilla
Author Affiliations +
Proceedings Volume 5008, Color Imaging VIII: Processing, Hardcopy, and Applications; (2003) https://doi.org/10.1117/12.474876
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
An algorithm is proposed for the spectral and colorimetric characterization of digital still cameras (DSC) which allows to use them as tele-colorimeters with CIE-XYZ color output, in cd/m2. The spectral characterization consists of the calculation of the color-matching functions from the previously measured spectral sensitivities. The colorimetric characterization consists of transforming the RGB digital data into absolute tristimulus values CIE-XYZ (in cd/m2) under variable and unknown spectroradiometric conditions. Thus, at the first stage, a gray balance has been applied over the RGB digital data to convert them into RGB relative colorimetric values. At a second stage, an algorithm of luminance adaptation vs. lens aperture has been inserted in the basic colorimetric profile. Capturing the ColorChecker chart under different light sources, the DSC color analysis accuracy indexes, both in a raw state and with the corrections from a linear model of color correction, have been evaluated using the Pointer'86 color reproduction index with the unrelated Hunt'91 color appearance model. The results indicate that our digital image capture device, in raw performance, lightens and desaturates the colors.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francisco Martinez-Verdu, Jaume Pujol, Meritxell Vilaseca, and Pascual Capilla "Characterization of a digital camera as an absolute tristimulus colorimeter", Proc. SPIE 5008, Color Imaging VIII: Processing, Hardcopy, and Applications, (13 January 2003); https://doi.org/10.1117/12.474876
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CITATIONS
Cited by 15 scholarly publications and 2 patents.
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KEYWORDS
RGB color model

Cameras

Digital imaging

Color reproduction

Light sources

Instrument modeling

Error analysis

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