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- Title
Perceptual Color Characterization of Cameras.
- Authors
Vazquez-Corral, Javier; Connah, David; Bertalmío, Marcelo
- Abstract
Color camera characterization, mapping outputs from the camera sensors to an independent color space, such as XY Z, is an important step in the camera processing pipeline. Until now, this procedure has been primarily solved by using a 3 × 3 matrix obtained via a least-squares optimization. In this paper, we propose to use the spherical sampling method, recently published by Finlayson et al., to perform a perceptual color characterization. In particular, we search for the 3 × 3 matrix that minimizes three different perceptual errors, one pixel based and two spatially based. For the pixel-based case, we minimize the CIE ΔE error, while for the spatial-based case, we minimize both the S-CIELAB error and the CID error measure. Our results demonstrate an improvement of approximately 3% for the ΔE error, 7% for the S-CIELAB error and 13% for the CID error measures.
- Subjects
CAMERA calibration; ELECTRONIC color sensors; COLOR photography; LEAST squares; PHOTOGRAPHY
- Publication
Sensors (14248220), 2014, Vol 14, Issue 12, p23205
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s141223205