Perceptual color characterization of cameras

Abstract

Color camera characterization, mapping outputs from the camera sensors to an/nindependent color space, such as XY Z, is an important step in the camera processing/npipeline. Until now, this procedure has been primarily solved by using a 3 × 3 matrix/nobtained via a least-squares optimization. In this paper, we propose to use the spherical/nsampling method, recently published by Finlayson et al., to perform a perceptual color/ncharacterization. In particular, we search for the 3 × 3 matrix that minimizes three different/nperceptual errors, one pixel based and two spatially based. For the pixel-based case,/nwe minimize the CIE ∆E error, while for the spatial-based case, we minimize both the/nS-CIELAB error and the CID error measure. Our results demonstrate an improvement of/napproximately 3% for the ∆E error, 7% for the S-CIELAB error and 13% for the CID/nerror measures