Perceptual Color Characterization of Cameras

Javier Vazquez-Corral (1) , David Connah (2) , Marcelo Bertalmío (3)

1 ETIC / UPF - Departament de Tecnologies de la Informació i les Comunicacions [Barcelona]
2 centre for visual computing
3 Image Processing for Enhanced Cinematography

Color camera characterization, mapping outputs from the camera sensors to an independent color space such as XYZ, is an important step in the camera processing pipeline. Until now, this procedure has been primarily solved by using a 3x3 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 3x3 matrix that minimizes three different perceptual errors, one pixel-based, and two spatial-based. For the pixel-based case, we minimize the CIE Delta E error, while for the spatial-based case we minimize both the SCIELAB error, and the CID error measure. Our results demonstrate an improvement of approximately 3% for the Delta E error and 15% for the two other error measures.

Mots clés: color sensors; color characterization

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Javier Vazquez-Corral, David Connah, Marcelo Bertalmío. Perceptual Color Characterization of Cameras. Sensors, 2014, pp.DEcembre2014. ⟨hal-01015537v2⟩