The accuracy of scanner characterization is usually affected by two factors. First, the statistics may vary for individual color samples and, second, the behavior of the scanner may depart from the linear reflectance model. This article proposes a method of colorimetric and spectral characterization for a color scanner using local statistics to deal with these problems. The experimental results showed that the proposed method significantly outperforms one using global statistics. The color accuracy of the colorimetric characterization is slightly better than that of the spectral one, while cross-media metamerism exists for both methods.
|Number of pages||5|
|Journal||Journal of Imaging Science and Technology|
|Publication status||Published - 1 Jul 2004|
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Computer Vision and Pattern Recognition